Abstracts – Browse Results
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Al-Humaidi, H M (2007) A fuzzy logic approach to model delays in construction projects, Unpublished PhD Thesis, , Ohio State University.
Al-Kaabi, N S (2006) A fuzzy-based construction safety advisor (CSA) for construction safety in the United Arab Emirates, Unpublished PhD Thesis, , The Ohio State University.
Bu-Qammaz, A S A S (2015) Risk management model for international public construction joint venture projects in Kuwait, Unpublished PhD Thesis, , Ohio State University.
El-khawas, I N (1997) The optimal design of buildings: A life-cycle approach to energy efficiency, Unpublished PhD Thesis, , The Ohio State University.
Ellis, R A (1980) An analysis of the impact of public participation activities in water and transportation projects, Unpublished PhD Thesis, , Ohio State University.
Fereshtehnejad, S (2018) Multi-hazard lifecycle methods for aging structures and infrastructure systems, Unpublished PhD Thesis, , Ohio State University.
Garrett, C C (1991) Roadway infrastructure management and investment behavior studies for developing countries: A multicriteria approach to road improvement decision-making, Unpublished PhD Thesis, , The Ohio State University.
Godby, C J (2002) A computational study of lexicalized noun phrases in English, Unpublished PhD Thesis, , The Ohio State University.
Halfawy, M M R (1998) A multi-agent collaborative framework for concurrent design of constructed facilities, Unpublished PhD Thesis, , The Ohio State University.
Hauenstein, A D (1966) Construction: A taxonomy and syllabus of production practices with implications for industrial arts, Unpublished PhD Thesis, , The Ohio State University.
Jin, R (2013) A statistical modeling approach to studying the effects of alternative and waste materials on green concrete properties, Unpublished PhD Thesis, , Ohio State University.
Mahmood, N A (2021) Real-time site safety risk assessment and intervention for on-foot building construction workers using RFID-based multi-sensor intelligent system, Unpublished PhD Thesis, , The Ohio State University.
- Type: Thesis
- Keywords: accuracy; reliability; risk assessment; risk identification; safety; fuzzy set; construction worker
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/2737175375
- Abstract:
Throughout the last several years, the number of detrimental accidents is still considered high and not going below a certain verge. One of the main problems that may put people's safety in danger is the lack of real-time detection, assessment, and recognition of predictable safety risks. Current real-time risk identification solutions are limited to proximity sensing, which lacks in providing meaningful values of the overall safety conditions in real-time.The overall objective of this research is to envision, design, develop, assemble, and examine an automated intelligent real-time risk assessment (AIR) system. A holistic safety assessment approach is followed to include identification, prioritization, detection, evaluation, and control at risk exposure time. Multi-sensor technologies based on Radio-Frequency Identification (RFID) are integrated with a risk assessment intelligent system. The intelligent system is based on fuzzy fault tree analysis (FFTA), a deductive approach that comprehensively systemizes possible concurrent basic and conditional risk events, not risk symptoms, from major subgroups of triggering, enabling, and environment-related risks. System prototype is developed and examined for functionality and deployment requirements to prove the concept for on-foot building construction worker at site.The experimental examination results showed that the AIR system was able to detect, assess, and sound deliver combined evaluation of concurrent diverse risks presented in a worker's range at real-time of exposure. The AIR system performance has met the criteria of validity, significance, simplicity, representation, accuracy, and precision and timeliness. The reliability of the AIR system to deliver quantitative values of risk proximity was limited due to the RF signal attenuation caused by different materials at site. Nevertheless, AIR system was reliable in real-time assessment and declaration of risk types, values, and proximity in a subjective linguistic fashion (Near/Far). The main conclusion is that AIR wearable system can be used as an effective prognostic risk assessment tool that can empower workers with realistic recognition and measurability of risk exposure at exposure time. This can enhance adequate responses and proactive decisions of risk control, accident prevention, and health protection.The wearable AIR assessment system is an addition to the state-of-the-art of proximity sensing and risk detection systems which left concurrently presented risks either unrecognized or misestimated. The main contribution of the AIR system is that the risk assessment resultant value (1) represents the combined evaluation of concurrently presented risks, (2) is a linguistic meaningful assessment value delivered to the exposed person in real-time of exposure. The main contribution of the AIR intelligent system is that it overcomes assessment misestimation by (i) proposing an enhanced rotational fuzzy set model to host the subjective risk values into quantifiable values, which helps in overcoming fuzzy sets rounding and misrepresentation; (ii) building an inclusive risk breakdown structure that helps in combating assessment underestimation related to overlooking influential concurrent risks; (iii) suggesting logical operations to combine concurrent residual risk values while distinguish between static risk (non-moving) and dynamic (moving) risks, and taking into consideration the effectiveness of safety precautions and measures that may reduce or eliminate risks, which can overcome assessment overestimation (false alarms). The collective use of different sensing technologies, that can be integrated with the AIR intelligent system, is a contribution that can be expanded in future research.
Pan, N-F S (2001) Fuzzy reasoning expert scheduling system (FRESS) for highway construction subject to rain impact: A case study in Taiwan, Unpublished PhD Thesis, , Ohio State University.
Sadoun, B I (1992) A modeling methodology for energy-conserving site design, Unpublished PhD Thesis, , The Ohio State University.
Sarma, K C (2001) Fuzzy discrete multicriteria cost optimization of steel structures using genetic algorithm, Unpublished PhD Thesis, , The Ohio State University.
Sirca, G F (2019) Analysis of full-scale in-service civil engineering structures, Unpublished PhD Thesis, , The Ohio State University.
Stanbury, J A C (1992) An exploratory empirical study of the international consulting engineering design services industry: A United States perspective, Unpublished PhD Thesis, , Ohio State University.
Tseng, C-H (2006) Safety performance analyzer for constructed environments (SPACE), Unpublished PhD Thesis, , The Ohio State University.
Vargas, C A (1998) Investigating construction falls using fault tree analysis and developing a prototype tool to reduce falls using expert system and computer-assisted instruction methods, Unpublished PhD Thesis, , The Ohio State University.
Wee, S (1993) A prototype of an expert system for pavement maintenance and rehabilitation strategy in the state of Ohio (espresso), Unpublished PhD Thesis, , The Ohio State University.
Yang, F (2022) Ascending the pagoda: A ground-up exploration of the ancient construction methods of dayanta using virtual reality, Unpublished PhD Thesis, , The Ohio State University.
Yoo, W S (2007) An information-based decision making framework for evaluating and forecasting a project cost and completion date, Unpublished PhD Thesis, , Ohio State University.
Young, D R (1968) The development of a construction industry interest inventory, Unpublished PhD Thesis, , The Ohio State University.
Yu, B (2007) Essays on structural analysis of procurement auctions, Unpublished PhD Thesis, , The Ohio State University.