Research Topic: Automated 3D Building Envelope Recognition from Point Clouds for Energy Analysis
Abstract: Existing buildings now represents the greatest opportunity to improve building energy efficiency. Building energy performance (BEP) analysis is becoming increasingly important because decision makers can have a better visualization of their building’s performance and quickly make the solution for improving building energy efficiency and reducing environmental impacts. Nowadays, it is a common practice to obtain point clouds of existing buildings through using 3D laser scanning technology for as-is building modeling. However, current methods need manual process to convert the point clouds into a building information model which is very time consuming and labor intensive. Therefore, the objective of this paper is to introduce a methodology that automatically recognizes the major components of the building envelope as individual objects from point clouds for energy simulation. In this paper, methodology of recognizing different building envelope components is introduced. Additionally, a field test on a residential house was made to validate the proposed algorithm, and in the test results it shows the building envelope components can be recognize as individual objects. The simplistic geometric outlines of all the components are recognized and ready for energy analysis.
Chao Wang received his bachelor’s and master’s degree in Computer Engineering in 2006 and 2009, respectively. He joined the Building Information Modeling & Construction Lab in August 2009 and worked as a research assistant for Dr. Yong Cho. His research focuses on 3D object recognition, rapid 3D built environment modeling, and building energy and information modeling.
Research Topic: Experimental Seismic Study of Fire Extinguishing Sprinkler Piping Subsystems
Abstract: Fire extinguishing sprinkler piping subsystem not only accounts for a significant portion of typical investment of building construction, but also represents one of the key components that ensure the functionality and safety within buildings. However, recent earthquake events have shown the vulnerability and poor performance of the fire extinguishing sprinkler piping subsystem, which caused various damages resulting in substantial property loss, loss of building function, as well as posing great hazard in fire spread and loss of life. Furthermore, limited research work has been conducted and information obtained from previous studies is not sufficient to fully describe the dynamic response and failure mechanism of sprinkler piping subsystem under seismic loading. In order to better understand the seismic behavior of fire suppression systems and the interaction with other structural members and nonstructural subsystems, two test series have been carried out in the Structural Engineering and Earthquake Simulation Laboratory (SEESL) at the State University of New York in Buffalo. In the first series, a total of 56 tee-joint components for sprinkler piping systems with diameters from 3/4” to 6” and made of various materials and joint types (black iron threaded schedule 40 and schedule 10, black iron welded, steel groove fit, and CPVC cemented joint) were tested under monotonic and quasi-static cyclic loading. Subsequently, a two-story, full scale (10 ft. x 30 ft.) fire extinguishing sprinkler piping subsystem has been tested on the University at Buffalo (UB) Nonstructural Component Simulator (UB-NCS). A total of three specimens with different materials and joint arrangements have been tested with various level of bracing systems under dynamic loading.
Research Topic: Workflow Based Data Fusion for Automated Construction Progress Tracking
Abstract: In this research, a workflow based data fusion framework is developed for construction progress, quality and productivity assessment. The developed model is based on tracking construction activities as well as objects, in contrast to the existing object-based models that are focussed on tracking objects. Data sources include high frequency automated technologies including 3D imaging and ultra-wide band (UWB) positioning. Foreman reports, schedule information, and other data sources are included as well. Data fusion and management process workflow implementation via a distributed computing network and archiving using a cloud-based architecture are both illustrated. Validation was achieved using a detailed laboratory experimental program as well as an extensive field implementation project. The field implementation was conducted using five months of data acquired on the University of Waterloo Engineering VI construction project, yielding promising results.
Arash completed his Bachelor’s and Master’s degrees in the structural field of Civil Engineering at University of Waterloo. He is a holder of the Natural Sciences and Engineering Research Council of Canada Alexander Graham Bell Graduate Scholarship (NSERC-CGS) and is now in the last term of his Ph.D. studies in the field of Construction Management, under the supervisions of Professors Carl T. Haas and Jeffrey S. West. His main research interests include automated activity progress tracking on construction projects, on-site data collection technologies for construction sites, construction health design and monitoring using Building Information Models (BIM), embedded radiofrequency (RFID) based sensors, digital photogrammetry, and 3D laser scanning. Arash is also passionate about teaching. He has completed The Certificate for University Teaching and has worked as a Graduate Teaching Developer at Center for Teaching Excellence at University of Waterloo for two years. He is also a sessional instructor at the Civil and Environmental Engineering Department at University of Waterloo.
Research Topic: Experienced-Bassed Virtual Prototyping Simulator (EVPS) For Interactive Design Review of Healthcare Related Facilities
Abstract: Research in healthcare facility design strongly indicates that the physical environment greatly impacts end users in issues of safety and overall health quality. Since healthcare facilities are extremely specialized, they involve a diverse range of stakeholders during the design process. This has led to emerging trends and design approaches such as experience-based design and evidence-based design that encourage participation and collaboration with the end users of healthcare facilities. The end users of these facilities such as the healthcare staff, doctors and nurses as well as patients usually have domain specific knowledge that can better inform the decision-making process during design.
Virtual Prototypes are increasingly being used during design reviews of specialized buildings such as healthcare facilities. However, most of these virtual prototyping approaches do not allow the reviewers and end users to interact directly, in real time with elements and objects within the virtual model. This presentation focuses on a method to combine the use of 3D game engines with the emerging experience based design approach for healthcare facilities to develop a systematic approach to scenario-based design review of healthcare facilities in an interactive virtual environment.
First, a virtual facility prototyping framework for rapid creation of a scenario based design review system is defined. Next, strategies to implement this framework to develop an Experience based Virtual Prototyping Simulator (EVPS) application are described. Design information workflows have been developed and tested between various BIM authoring tools and the Unity game engine that is used for developing the interactive virtual prototype system. Finally, some lessons learned and issues are highlighted that help direct future research and implementation.
Sonali Kumar is currently a Ph.D. candidate and a part of the Computer Integrated Construction (CIC) Research Program in the department of Architectural Engineering at Penn State. Sonali’s research is focused on virtual facility prototyping during design reviews and specifically explores real-time visualization technologies and the use of game engines to incorporate interactivity in virtual prototypes. As part of her thesis, she is developing an interactive virtual prototyping system that employs the concept of Experience-based Design to review healthcare facilities.
Research Topic: BIM-Based Life Cycle Information Management: Integrating Knowledge of Facility Management into Design
Abstract: The AEC industry has raised a good deal of interest surrounding the use of BIM for facility management. The opportunities for leveraging BIM for facility operations are compelling, but the utilization of BIM in facility management is lagging behind the BIM implementation in design and construction phases. On one hand, designers and constructors seldom know what documents and other varieties of information are needed for the facility management phase. On the other hand, a limited degree of experience in the operation and maintenance knowledge of these existing buildings is sent back to design phase. This research is aimed to bridge the communication gap between design and facility management professionals. Through available BIM extension development tools, information exchange and knowledge sharing can be attained for both these essential partners in the construction industry. The expected result would be a platform that can transfer information bi-directionally between design and facility management professionals. Through literature review, interviews and surveys with industry professionals, the requirements for facility operation and maintenance are discovered. A facility management template that carries the information needed by the facility management, as well as a predefined list for maintenance management in design tools such as Revit is going to be developed. Moreover, for maintainability checking, rule sets for model checker applications to gauge the accessibility of maintenance activity will be created through platform such as Revit API and Solibri Model Checker.
Liu received her Bachelor of Management degree in Construction Management and Bachelor of Science in Applied Mathematics at Tianjin University in June 2005. She completed her Master of Management degree in Project Management at Tianjin University in 2007. She earned her Master of Science degree in Information Systems and Operations Management from Warrington College of Business Administration at the University of Florida in 2010. She will complete her Doctor of Philosophy in Design Construction and Planning at the University of Florida in 2012.
Research Topic: The Links Between Acoustics and Human Outcome Measures in Hospitals
Abstract: Hospital noise has been a research topic for medical professionals and acousticians over the past several decades. One of the biggest challenges has been to meaningfully characterize the soundscape of hospital wards. Some previous studies have made preliminary links between noise and human outcomes and generally, traditional acoustic metrics have been used. However, more recent studies question if these traditional metrics are sufficient in fully characterizing the wards. The two studies discussed here use both traditional metrics and untraditional metrics in defining the soundscape of the hospital wards. Additionally, the speech intelligibility in hospitals is analyzed. These acoustic metrics are shown to have statistically significant relationships to both patient and staff outcomes. Correlations, linear regression, curve estimation and risk ratio are some of the statistical tools that are used to show some of these potential relationships. These results continue to demonstrate the importance of understanding the relationships between hospital acoustics and patient physiological arousal.
Hsu received his Bachelor of Music in Piano Performance and in Recording Arts from the Peabody Institute of the Johns Hopkins University in 2004. Additionally, he received his Master of Arts in Acoustics and in Audio Design in 2005. At the Georgia Institute of Technology, Hsu received a Master of Science in Mechanical Engineering in 2007 and his Doctor of Philosophy in Mechanical Engineering in 2012. His research interests at the Georgia Institute of Technology centered on hospital and health care acoustics, architectural acoustics and noise control. He was the President of the Georgia Tech Student Chapter of the Acoustical Society of America from 2009-2011. Additionally, he is an active member of the Acoustical Society of America, ASHRAE, the Georgia Music Educator’s Association and the National Association for Music Education. Outside of research, Hsu is a professional pianist and conductor who has led the choirs at the Georgia Institute of Technology, at local community groups and churches, and at music workshops across the nation.
Research Topic: Efficient Precast/Prestressed Floor System for Building Construction
Abstract: Conventional precast floor systems consist of hollow core planks supported by inverted-tee precast prestressed concrete beams, which are, in turn, supported on column corbels or wall ledges. These floor systems provide a rapidly constructed solution to multi-story buildings that is economical, high quality, fire-resistant, and with excellent deflection and vibration characteristics. However, conventional precast concrete floor system cannot complete with cast-in-place flat slab floor systems when high span-to-depth ratio, and flat soffit. This is due to the significant depth of standard precast beams, and use of column corbels and beam ledges to support beams and hollow core planks.
This research presents the development of a new precast concrete floor system that eliminates the limitations of conventional precast floor system and provides a competitive precast alternative to cast-in-place flat slab floor systems. The main features of the proposed system are: span-to-depth ratio of 30, and flat soffit (no ledges or corbels), in addition the proposed system has adequate resistance to lateral loads minimize the need for shear walls that are time-consuming and labor intensive to construct. These features are in addition to economy, consistency with prevailing erection techniques, and speed of construction. The new system is a total precast floor system that consists of precast concrete columns, precast/prestressed concrete rectangular beams, precast/prestressed concrete hollowcore planks, and cast-in-place composite topping.
Also this research presents the development of new precast/prestressed panels for floor systems that is alternative to HC planks. The proposed panels are sandwich panels that have comparative weight and structural capacity to HC planks while being efficient in thermal and sound insulation. These panels can be easily produced as they do not require specialized equipment for fabrication, which eliminates the need for high initial investment. The proposed floor panels consist of an internal wythe of insulation and two external wythes of concrete similar to precast concrete sandwich wall panels. The two concrete withes are designed to be fully composite through the use of Glass Fiber-Reinforced Polymer (GFRP) shear connectors, to eliminate the reduction of thermal performance. This presentation presents the main concepts adopted in the system development as well as the design summary and construction sequence. The laboratory tests performed to ensure the structural performance of the proposed system are also presented.
Research Topic: Bridge Condition Assessment and Performance Measurements Using Digital Image Correlation
Abstract: The condition of transportation infrastructure, specifically bridges, has received a great deal of attention in recent years as a result of catastrophic failures, deteriorating conditions, and even political pressure. Bridge inspection and evaluation practices often involve non-destructive inspection methods for condition assessment. Typically, these inspections rely on visual inspection for most route inspections. Current bridge inspection techniques consist largely of labor-intensive subjective measures for quantifying deterioration of various bridge elements. Some advanced nondestructive testing techniques such as ground penetrating radar are being implemented, however little attention has been given to remote sensing technologies.
Remote sensing ideally involves using sensor technology to monitor and detect information in a non-contact manner and this also can enable information to be collected off the site location (remotely). Remote sensing technologies can be used to assess and monitor the condition of bridge infrastructure and improve the efficiency of inspection, repair, and rehabilitation efforts. One of the remote sensing technologies investigated during this study is Digital Image Correlation. Digital Image Correlation (DIC) is an advancing optical technique that is gaining popularity for quantifying bridge response using a series of incremental digital images. DIC refers to a measurement technique that consists of correlating pixels in optical images. This correlation can be used to monitor static and dynamic displacement and strain in both 2-D and 3-D, with relatively inexpensive equipment and software. This presentation details an investigation of DIC for bridge condition assessment and structural performance that is part of an ongoing investigation into the use of non-contact remote sensing technologies for bridge condition assessment. Included in this presentation is an overview of the bridge condition assessment project, about the DIC technique as well as laboratory and field testing results. Also, included will be a discussion of the benefits and limitations of this method and potential future applications as it relates to structural health monitoring of bridges and condition assessment.
Renee Oats, a Baltimore, Maryland native, is currently a doctoral student in Civil Engineering at Michigan Technological University. Her research is on structural health monitoring of bridges and modeling bridge behavior. She has an educational background in physics and civil engineering with a focus on construction engineering. Oats has completed internships in numerous fields such as transportation engineering, and mechanical material behavior. Oats also has professional experience in geotechnical studies and educational teaching services. Oats is a former National Science Foundation Fellow and member of various engineering and education societies including the National Society of Black Engineers (NSBE) and American Society for Engineering Education (ASEE).
Research Topic: Structural Reliability Assessment of the U.S. Design Criteria for Bridge Superstructures
Abstract: Reliability analysis can be applied as a powerful tool to optimize structural design codes and specifications. In addition to those criteria where new reliability assessments are required, it is also beneficial to re-evaluate existing codes, regularly, for consideration of changes in loads, material quality, etc. This technique is advantageous particularly to Load and Resistance Factor Design (LRDF) codes with specific factors for each design parameter. In this study, a brief description of the reliability assessment procedure is provided focusing on the recalibration of the current US design criteria for bridge superstructures. Subsequently, some detailed reliability analyses along with corresponding results are presented. Based on the reliability analysis of the structural components in bridge superstructures, a few modifications in current criteria are suggested for future consideration in design specifications.
Mehdi Mohseni is a Ph.D. candidate in the Construction Engineering and Management Program at the University of Nebraska-Lincoln. Mehdi earned his Bachelor’s of Science degree from Ferdowsi University of Mashad and holds a Master’s of Science in Structural Engineering from Sharif University of Technology in Iran. He has worked more than three years in industry as a researcher and bridge designer. Mehdi has concluded research in various areas including seismic damage assessment of buildings and bridges, fragility analysis, structural reliability assessment, dynamic response of high-speed rail bridges, and accelerated bridge construction. He is an active member in several professional/social organizations, including a board member of the PKI Graduate Student and Professional Association.
Research Topic: Virtual Sensing Technology and Application in Building Systems
Abstract: A virtual sensor uses low-cost measurements and mathematical models to estimate a difficult to measure or expensive quantity. Virtual sensors have been successfully developed and applied in other fields within the past two decades. This presentation reviews developments of virtual sensors in other fields and early applications for buildings. It is believed that widespread application of virtual sensors for buildings would enable a level of building optimization and improvement not previously considered to be economical. It is hoped that this study can provide a resource for these future developments and applications.
Daisy is a fourth-year Ph.D. student in The Charles W. Durham School of Architectural Engineering and Construction at the University of Nebraska-Lincoln. Her research interests center around the sustainable development of energy, environment, economy, and society. Particularly, she is interested in building a Net-Zero Energy, High-Performance Built Environment and a Near-Zero Biomass Waste and Carbon Dioxide Eco-friendly Planet using (1) Renewable Energy for Energy Generation - producing green, high-grade, and sufficient thermal heat, biogas and bio-fertilizer using a fast, low-cost, and scalable bio-degradation technology from recycling biomass waste; (2) Building Intelligence for Energy Conservation - realizing a high degree of operational and maintenance intelligence in mechanical and energy systems through multifarious advanced technologies, e.g., automated fault detection and diagnosis (AFDD), virtual sensing, virtual calibration, and virtual verification technologies.
Research Topic: Comparison of the Seismic Performance of Vitruvian Columns
Abstract: Throughout history, humanity has bore witness to many catastrophic events that have resulted in structural collapse, such as the earthquake that caused the collapse of the Lighthouse of Alexandria, or the blast induced progressive collapse that destroyed the World Trade Center. While these collapses are famous and command the attention of engineers worldwide, we must remember that for every structure that collapsed in the public eye, many more collapsed outside of it. This fact becomes evident when looking at the wealth of historical structures located around the world in varying levels of damage with unknown causes and history. It is this lack of knowledge that presents the need for innovative forensic techniques that can help engineers to better explain collapses or damage in order to: 1) better determine the historical circumstances surrounding the collapse, and 2) aid in the preservation and conservation efforts for these structures. A particular type of structure in need of such techniques is the Roman temple, an example of which can be found in the ancient Turkish city of Antiocheia ad Cragum. Dating back to the 3rd century, this temple lacks historical documentation of its collapse. However, its location suggests susceptibility to seismic action. Although design of Roman temples varied, the Roman writer Vitruvius described the ideal dimensions of three classic architectural orders based on his experience and studies of ancient Greek and early Roman architecture. Since the Roman architectural identity evolved from the subject of Vitruvius’ studies, his ideals would provide a suitable framework with which to compare Roman temple columns. Furthermore, by comparing the seismic performance of these ideals, one could theoretically determine the effect of seismic action on any number of Roman temple columns. This study will detail the comparisons made between the seismic responses of columns constructed to these three ideals utilizing the ANSYS 12.1 finite element software package.
Cody Buckley, originally from Washington, Ind., graduated cum laude with a B.S. degree in Civil Engineering from the University of Evansville in 2009. He is a Ph.D. candidate in Architectural Engineering at UNL. His research interests include seismic behavior of dry-stack masonry, scaled testing of ancient structures, and non-destructive testing techniques. In addition to his scholastic activities, he serves as president of the Omaha student chapter of Structural Engineers Association of Nebraska (SEAON) and works part-time as an intern at InfraStructure, LLC in Omaha.
Research Topic: The Aerodynamic Behavior of Respiratory Aerosols Within a General Patient Room
Abstract: Hospital acquired infections (HAIs) claim on average 90,000 lives each year in the U.S., nearly three times the number of annual highway deaths. Although fewer than 15% of HAIs are directly attributable to airborne transmission, more than one-third may be caused by surface microbes aerosolized by the movement of air from building systems, people and equipment. In response, an actual hospital was used to map the spatial dispersion of synthetic respiratory aerosols with respect to particle size, airflow, door position and healthcare worker movement between a general patient room and corridor. Respirable aerosols 0.5μm to <1.0μm were found to exhibit distinctly different aerodynamic behaviours when compared to aerosols 1.0μm -10.0μm. Specifically, aerosols <1.0μm appeared to disperse randomly and uniformly throughout the test space with significantly less regard to mechanical airflow, pressure relationships, door position, and personnel movement when compared to aerosols 1.0μm -10.0μm. Since expiratory droplets <1.0μm are believed to be both capable of carrying virus and penetrating into the alveolar region of the lung, these particles may present unique challenges for ventilation systems designed to protect the healthcare population from airborne viral transmission.
Personal Profile Kelli Herstein is a doctoral candidate in Construction Management at UNL. She is also enrolled in the Masters of Public Health program at the University of Nebraska Medical Center. Kelli received her bachelor’s and master’s degrees from the University of Nebraska - Lincoln in Industrial and Management Systems Engineering. Her research interests include human factors, industrial hygiene, safety, and productivity.
Research Topic: Quantifying the Impact of Facilitation on Transactive Memory System Formation in Global Virtual Project Networks
Abstract: Building strong ties between geographically dispersed project participants is crucial to project success. In global project networks, many firms have adopted virtual collaboration tools to address the challenges imposed by temporal and geographic distance. Some researchers have examined the role of facilitators and found that process facilitation can improve collaboration. Research has also shown that facilitators can be drawn into content interactions which may negatively impact collaboration effectiveness in virtual workspaces. Yet, research to date has not quantified this negative impact. In this study, we investigated the formation and the maintenance of Transactive Memory Systems (TMSs) in two facilitated and two non-facilitated global virtual project networks each executing a two-month project. Using TMS formation and cohesive subgroup formation as a proxy for performance, we found quantitative evidence which demonstrates that when facilitators engage in content facilitation in virtual project networks, it can negatively impact collaboration effectiveness by restricting the establishment of TMSs. This finding has important implications for understanding and designing appropriate facilitator interactions in global virtual project networks.
Semra Çomu received her Bachelor of Science in Civil Engineering from Bogazici University, Istanbul in 2008. After her graduation, she moved to New York to pursue graduate study in Construction Engineering and Management. She is a Fulbright Scholar who formerly worked on the “Globalization: Building a Successful Global EPC Organization” Construction Industry Institute-funded project while completing her MS degree at Columbia University. She received her MS degree in 2010 and continued her studies at Columbia University as a Ph.D. student. In 2011 she transferred to Virginia Tech and was awarded Myers-Lawson School of Construction Doctoral Assistantship. She is currently a Ph.D. student in the Department of Civil and Environmental Engineering at Virginia Tech and works as a graduate research assistant on the CyberGRID Networks NSF-funded project examining the impact of virtualization of the engineering workforce on global project network performance.
Research Topic: Improving Project Performance with Strategic Optimization of Indirect Construction Cost Practices at the Project Level
Abstract: Relentless market pressures challenge construction companies to reduce construction costs and to increase the value created by the capital improvement process. Improved management of indirect construction costs (IDCC) has been identified by the Construction Industry Institute (CII) as a contemporary focus area of process improvement. The primary purpose of this research is to investigate and disseminate best industry practices for estimating, controlling and managing IDCC and to offer statistically-based models for IDCC practice optimization. To establish a shared context and vocabulary for IDCC, a two-part operational definition is proposed including a detailed lexical definition and a graphical categorization framework. Structured data collection interviews were conducted with fifty-six subject matter experts from industry to achieve two primary objectives: 1) to identify and rank the “key” IDCC groups perceived has having the greatest impact to project performance, i.e., construction project staff, major construction equipment, scaffolding and temporary provisions; and 2) to investigate and document best industry practices (i.e., consideration checklists, detailed process mapping, and representative practical tools) used within successful companies for handling these key IDCC. The identified industry practices have been aggregated into a comprehensive guidebook (referred to as the “Playbook”) targeted for use by industry practitioners to improve company processes and tools pertaining to IDCC. The benefits of these practices will be validated through targeted case studies and correlative statistical analysis, including the development of predictive models associating specific IDCC practices (exogenous variables) to each of nine project performance metrics (endogenous variables). The proposed models enable an optimization approach by strategically targeting expenditures and staff resources to IDCC practices that are most highly correlated with higher project performance metrics in the outcome areas most closely aligned with specific project goals.
Tim grew up in Glenwood, Iowa and obtained a B.S. degree in Construction Engineering from Iowa State University. Upon undergraduate graduation, Tim spent 15 years in the construction and real estate development industry holding numerous positions, including: estimator, project engineer, senior development manager, vice president and others. During this professional tenure, Tim obtained a Master’s in Business Administration degree from Arizona State University. He is a member of the Lean Construction Institute, the American Society of Civil Engineers, the National Society of Professional Engineers, the Institute of Industrial Engineers, the American Society for Engineering Education, and the National Association of Industrial and Office Properties. Tim is a licensed professional engineer in the State of Arizona. He currently serves as a lecturer in the Civil, Construction and Environmental Engineering Department at Iowa State University. Tim resides in Ames, Iowa with his wife and two daughters.
Research Topic: Identifying and Quantifying Construction Safety Risks at the Attribute Level
Abstract: Over nine million Americans work in the construction industry, which consistently accounts for an injury rate that is over five times the all-industry average. Although injury rates have declined dramatically in this time, the construction industry has had at least 1,200 deaths and 460,000 disabling injuries in each of the past 15 years. Traditional strategies for preventing injuries on construction sites (e.g., inspections, accident investigations, toolbox talks) have been criticized as being reactive, regulatory-based, and focused primarily on informal processes. One of the potential techniques to transform the traditional injury prevention practices is to implement safety risk management. However, the current risk assessment strategies are rarely implemented by practicing professionals because they require every new infrastructure feature and construction method to be individually evaluated using laborious research processes and data from previous failures.
In this seminar a recent research effort will be described that quantifies safety risks independently from the tasks and construction objects. The goal of this research is to advance knowledge of the fundamental attributes of construction work environments that cause injuries and quantify their risks. The study advances understanding about how these attributes interact in space and time using novel data sources and analytical techniques. The research objectives were to: (i) Identify the fundamental attributes of a construction workplace that characterize safety risk using content analysis of large, representative, and reliable databases of injury reports; (ii) Prioritize the resulting attributes using principal components analysis (PCA); (iii) Predict safety outcomes for specific combinations of principal attributes with functions developed with generalized linear models (GLMs); and (iv) Measure the impact of the spatial and temporal interactions among principal attributes by adapting social network analysis (SNA) techniques. This research yields robust data and mathematical forecasting models that can be to objectively, accurately, and reliably predict hazardous conditions based on the identifiable attributes that characterize the workplace. It is expected that the findings of this research will transform the current risk analysis techniques and the created database has the potential to be applied to information models.
During his graduate studies Esmaeili has been involved in numerous construction engineering projects such as economical assessment of second terminal of Tehran’s International Airport (15 million passengers per year). After receiving a Civil Engineering Graduate Research Fellowship in 2009, he started his Ph.D. in the area of risk analysis and safety in construction at CU Boulder. In addition to his Ph.D. dissertation, he worked as a research assistant (RA) on a project sponsored by Bentley Systems. The objective of the research was to collect and analyze safety risk data that are essential to the enhancement of preconstruction safety management activities. The results of this research provided a foundational database for improving preconstruction safety management as the objective safety risk data can be applied to scheduling, coordination, and decision making. Additionally, in order to facilitate integration of risk data into project schedules, a Graphical User Interface (GUI) was developed, tested, and disseminated. These studies have resulted in several papers that have been published in two of the field’s top journals: Construction Management and Economics and the Journal of Construction Engineering and Management.
Research Topic: Vision-Based Tracking of Construction Entities
Abstract: In this presentation, a novel method of tracking construction entities will be introduced. 3D object tracking on construction sites allows positioning of personnel, equipment, and materials across time to support effective activity sequence analysis, productivity measurements, and safety management. In addition, tracking instantly enables the identification of critical activities and problems, which allows for on-site project control. Available tracking solutions such as GPS and RFID are mainly based on Radio Frequency technologies. They all work under the same principle of having a sensor attached on each entity to be tracked. These technologies have been applied, and proved to work excellent for most scenarios involved in construction management. However, when it comes to large-scale and congested construction sites, the installation of the sensor system can be costly and time-consuming due to the large amount of items involved. This session presents a framework that promises to determine the spatial location of project related entities in a large-scale congested construction site without installation of sensors. Under this framework, video streams are initially collected from a set of fixed video cameras that are placed at a project site. The camera views should have large overlapping areas so that the entities appear at least in two views. In each view, project related entities are automatically detected when they first appear. The identified entities are tracked in the subsequent frames. This process provides 2D pixel coordinates across frames for each view. The 3D coordinates are calculated by triangulating two cameras and the entity based on the geometric relation between the camera views (translation and rotation). This technology is tested on videos collected at real construction sites. The accuracy is measured by comparing with total station data, which demonstrates its competitive and promising performance for on-site tracking purposes.
Man-Woo Park has studied and worked as a graduate research assistant for the Construction Information Technology (CIT) group at the Georgia Institute of Technology since 2008. His thesis research is about visionbased tracking of construction entities and vehicles. Prior to joining CIT group, Park had studied and worked on the structural engineering. He obtained his B.S. in 2001 and M.S. in 2003 at the Department of Civil and Environmental Engineering at Seoul National University. His master thesis was about System Identification, which is applicable to structural damage detection. After graduation, he had worked for a civil engineering company as a structural engineer in South Korea for four years. He participated in the projects of rail construction, road construction and subway station construction performing various types of duties ranging from the fundamental design to the detailed structural analysis.