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Al-Humaidi, H M (2007) A fuzzy logic approach to model delays in construction projects, Unpublished PhD Thesis, , Ohio State University.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N S (2006) A fuzzy-based construction safety advisor (CSA) for construction safety in the United Arab Emirates, Unpublished PhD Thesis, , The Ohio State University.
Bu-Qammaz, A S A S (2015) Risk management model for international public construction joint venture projects in Kuwait, Unpublished PhD Thesis, , Ohio State University.
El-khawas, I N (1997) The optimal design of buildings: A life-cycle approach to energy efficiency, Unpublished PhD Thesis, , The Ohio State University.
Ellis, R A (1980) An analysis of the impact of public participation activities in water and transportation projects, Unpublished PhD Thesis, , Ohio State University.
Fereshtehnejad, S (2018) Multi-hazard lifecycle methods for aging structures and infrastructure systems, Unpublished PhD Thesis, , Ohio State University.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and investment behavior studies for developing countries: A multicriteria approach to road improvement decision-making, Unpublished PhD Thesis, , The Ohio State University.
Godby, C J (2002) A computational study of lexicalized noun phrases in English, Unpublished PhD Thesis, , The Ohio State University.
Halfawy, M M R (1998) A multi-agent collaborative framework for concurrent design of constructed facilities, Unpublished PhD Thesis, , The Ohio State University.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A D (1966) Construction: A taxonomy and syllabus of production practices with implications for industrial arts, Unpublished PhD Thesis, , The Ohio State University.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statistical modeling approach to studying the effects of alternative and waste materials on green concrete properties, Unpublished PhD Thesis, , Ohio State University.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assessment and intervention for on-foot building construction workers using RFID-based multi-sensor intelligent system, Unpublished PhD Thesis, , The Ohio State University.
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reasoning expert scheduling system (FRESS) for highway construction subject to rain impact: A case study in Taiwan, Unpublished PhD Thesis, , Ohio State University.
Sadoun, B I (1992) A modeling methodology for energy-conserving site design, Unpublished PhD Thesis, , The Ohio State University.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.
- Type: Thesis
- Keywords: fuzzy set; pavement; expert system; inspection; rehabilitation; training; fuzzy logic
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/304093017
- Abstract:
A prototype of an Expert System for Pavement maintenance and REhabilitation in the State of Ohio (ESPRESSO) is developed, tested, and evaluated. ESPRESSO introduces an approach that employs an expert system to enhance a pavement management system (PMS) so as to provide consistent and reasonable strategies for maintenance and rehabilitation (M&R). The development of ESPRESSO consists of three phases: knowledge acquisition, knowledge representation, and knowledge base. The first phase for developing ESPRESSO was to acquire knowledge from a literature review and experts. For this purpose a knowledge acquisition protocol was specially designed and systematically used to facilitate this task. The knowledge acquisition protocol consists of four phases: the preliminary, intermediate, advanced, and organizational phases. The second phase was to develop the knowledge structure and representation based on knowledge acquisition. M&R strategy selection models were developed using decision trees. The decision trees consist of three levels: the evaluation of pavement condition, the M&R strategy for pavement condition, and the M&R strategy for pavement structure. The first level evaluates the pavement condition based on pavement condition rating (PCR) and structural deduct, obtained from a visual inspection of pavement surface condition by experienced engineers and technicians. The second level classifies the pavement condition into three categories: major rehabilitation, minor rehabilitation, and maintenance. In the third level, the M&R strategy for the pavement structure is selected based on the condition of the pavement structure using fuzzy logic concepts. Here, fuzzy modus ponens deduction techniques using angular fuzzy set models are used to find repair strategies for the pavement structure. The last phase was to construct the knowledge base for finding the M&R strategy. For this purpose an expert system shell, named LEVEL5 OBJECT, was chosen. ESPRESSO was tested by knowledge engineers and evaluated by independent experts in the Ohio Department of Transportation (ODOT). ESPRESSO recommended M&R strategies can be used by experienced engineers to check their recommendations. ESPRESSO can be used in the training of less experienced engineers. Recommendations for improvement of ESPRESSO and further research are given.
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.