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Burke, R D, Parrish, K and El Asmar, M (2018) Environmental Product Declarations: Use in the Architectural and Engineering Design Process to Support Sustainable Construction. Journal of Construction Engineering and Management, 144(05).
Delgado, L, Shealy, T, Garvin, M and Pearce, A (2018) Framing Energy Efficiency with Payback Period: Empirical Study to Increase Energy Consideration during Facility Procurement Processes. Journal of Construction Engineering and Management, 144(05).
Doloi, H (2018) Community-Centric Model for Evaluating Social Value in Projects. Journal of Construction Engineering and Management, 144(05).
El-Sabek, L M and McCabe, B Y (2018) Framework for Managing Integration Challenges of Last Planner System in IMPs. Journal of Construction Engineering and Management, 144(05).
Farshchian, M M and Heravi, G (2018) Probabilistic Assessment of Cost, Time, and Revenue in a Portfolio of Projects Using Stochastic Agent-Based Simulation. Journal of Construction Engineering and Management, 144(05).
Liang, Q, Leung, M and Cooper, C (2018) Focus Group Study to Explore Critical Factors for Managing Stress of Construction Workers. Journal of Construction Engineering and Management, 144(05).
Lines, B C and Ravi Kumar, G G (2018) Developing More Competitive Proposals: Relationship between Contractor Qualifications-Based Proposal Content and Owner Evaluation Scores. Journal of Construction Engineering and Management, 144(05).
Mahpour, A and Mortaheb, M M (2018) Financial-Based Incentive Plan to Reduce Construction Waste. Journal of Construction Engineering and Management, 144(05).
Nguyen, D A, Garvin, M J and Gonzalez, E E (2018) Risk Allocation in U.S. Public-Private Partnership Highway Project Contracts. Journal of Construction Engineering and Management, 144(05).
Rocha, C G d, Anzanello, M J and Gerchman, M (2018) Method to Assess the Match between Clients’ Input and Decoupling Points in Customized Building Projects. Journal of Construction Engineering and Management, 144(05).
Schuldt, S and El-Rayes, K (2018) Optimizing the Planning of Remote Construction Sites to Minimize Facility Destruction from Explosive Attacks. Journal of Construction Engineering and Management, 144(05).
- Type: Journal Article
- Keywords: Remote construction site; Blast effects; Blast wall; Security; Facility layout; Genetic algorithms; Optimization;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001446
- Abstract:
Remote construction sites, such as oil production facilities and military forward operating bases, are often located in remote and hostile areas that are vulnerable to the threat of explosive attacks. Planners can significantly reduce the destructive effects of explosive attacks targeting these sites by incorporating a number of security measures, including increasing the standoff distance between facilities and the likely location of an explosive device, constructing perimeter blast walls, and hardening facilities. The integration of these site layout security measures increases site construction costs, and accordingly planners need to search for and identify an optimal site layout plan that strikes an optimal balance between the two conflicting objectives of minimizing facility destruction levels and minimizing site construction costs. This paper presents a multiobjective optimization model for optimizing the site layout planning and selection of security measures for remote construction sites. An application example of a remote military base is analyzed to demonstrate the use of the model and its distinctive capability to generate optimal trade-offs between minimizing facility destruction levels from explosive attacks and minimizing site construction costs.
Tembo-Silungwe, C K and Khatleli, N (2018) Identification of Enablers and Constraints of Risk Allocation Using Structuration Theory in the Construction Industry. Journal of Construction Engineering and Management, 144(05).
Yap, J B H, Abdul-Rahman, H and Wang, C (2018) Preventive Mitigation of Overruns with Project Communication Management and Continuous Learning: PLS-SEM Approach. Journal of Construction Engineering and Management, 144(05).
Zhang, M, Cheng, W and Wang, Y (2018) Multiple-Fault Classification for Hot-Mix Asphalt Production by Machine Learning. Journal of Construction Engineering and Management, 144(05).