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Geotechnical Risk Management: Engineering Approaches for Uncertainty in Large-Scale Construction
Subject area: Science,Engineering and Technology · Area of research: Civil Engineering
DOI: 10.64388/IREV9I10-1715983
Abstract
Geotechnical uncertainty remains one of the most critical challenges in large-scale construction and infrastructure development. Unlike many engineering systems that can be defined with relatively predictable parameters, subsurface conditions are inherently variable and only partially understood prior to construction. Variations in stratigraphy, groundwater behavior, material properties, and environmental influences introduce uncertainties that directly affect design reliability, construction sequencing, project safety, and long-term infrastructure performance. This paper examines engineering approaches for managing geotechnical risk within complex construction environments. The study argues that geotechnical risk management should not be treated as a static assessment performed during early project phases, but as a continuous and adaptive process extending throughout investigation, design, construction, and monitoring activities. Particular attention is given to uncertainty prioritization, observational design methods, iterative decision-making, field monitoring integration, and interdisciplinary coordination within large-scale infrastructure systems. Drawing from practical engineering perspectives, the paper evaluates how geotechnical uncertainty influences project execution, resource allocation, construction risk exposure, and infrastructure resilience. The study further explores the limitations of conventional deterministic approaches that rely heavily on predefined assumptions and static safety factors without adequately accounting for evolving field conditions during construction. The paper ultimately proposes that effective geotechnical risk management depends not on eliminating uncertainty entirely, but on developing adaptive engineering frameworks capable of integrating technical analysis, field observations, monitoring systems, and structured decision-making throughout the project lifecycle. Through this approach, infrastructure projects can achieve improved reliability, operational stability, and long-term performance under inherently uncertain ground conditions.
Keywords
Geotechnical Risk, Uncertainty Management, Large-Scale Construction, Observational Method, Infrastructure Engineering
References
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How to cite this paper
@article{1715983,
author = {Oguz Kahraman},
title = {Geotechnical Risk Management: Engineering Approaches for Uncertainty in Large-Scale Construction},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {10},
pages = {4725-4743},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1715983.pdf},
abstract = {Geotechnical uncertainty remains one of the most critical challenges in large-scale construction and infrastructure development. Unlike many engineering systems that can be defined with relatively predictable parameters, subsurface conditions are inherently variable and only partially understood prior to construction. Variations in stratigraphy, groundwater behavior, material properties, and environmental influences introduce uncertainties that directly affect design reliability, construction sequencing, project safety, and long-term infrastructure performance. This paper examines engineering approaches for managing geotechnical risk within complex construction environments. The study argues that geotechnical risk management should not be treated as a static assessment performed during early project phases, but as a continuous and adaptive process extending throughout investigation, design, construction, and monitoring activities. Particular attention is given to uncertainty prioritization, observational design methods, iterative decision-making, field monitoring integration, and interdisciplinary coordination within large-scale infrastructure systems. Drawing from practical engineering perspectives, the paper evaluates how geotechnical uncertainty influences project execution, resource allocation, construction risk exposure, and infrastructure resilience. The study further explores the limitations of conventional deterministic approaches that rely heavily on predefined assumptions and static safety factors without adequately accounting for evolving field conditions during construction. The paper ultimately proposes that effective geotechnical risk management depends not on eliminating uncertainty entirely, but on developing adaptive engineering frameworks capable of integrating technical analysis, field observations, monitoring systems, and structured decision-making throughout the project lifecycle. Through this approach, infrastructure projects can achieve improved reliability, operational stability, and long-term performance under inherently uncertain ground conditions.},
keywords = {Geotechnical Risk, Uncertainty Management, Large-Scale Construction, Observational Method, Infrastructure Engineering},
month = {April},
doi = {https://doi.org/10.64388/IREV9I10-1715983}
}