A systematic literature review on modern methods of construction in building: An integrated approach using machine learning

Sánchez-Garrido, Antonio J.; Navarro, Ignacio J.; García, José; Piqueras, Víctor Yepes

doi:10.1016/j.jobe.2023.106725

Cited by 25 publications

(13 citation statements)

References 140 publications

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“…Sahoo et al [37] conducted a comparative study of the hybrid model and traditional decision-making approaches for evaluating ecofriendly packaging alternatives, demonstrating its superiority in handling complexity and uncertainty. Sánchez-Garrido et al [38] proposed a hybrid approach integrating the hybrid model with multi-objective optimization techniques for sustainable land use planning, providing decision-makers with optimal solutions considering their economic, environmental, and social objectives. Gupta et al [39] presented a case study on the application of the hybrid model to assess sustainable transportation alternatives in urban areas, facilitating informed decision-making for urban mobility planning.…”

Section: Previous Studies Involving the Fuzzy Integrated Delphi-ism-m...mentioning

confidence: 99%

“…Risk analysis (F32): Risk analysis assesses potential uncertainties and quantifies their impact on project finances, aiding informed decision-making. This process identifies cost drivers, helps mitigate financial risks, and ensures project success within budgetary limits [24,38].…”

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confidence: 99%

“…Machine learning models can optimize energy usage, reduce waste, and lower environmental impact, leading to more sustainable civil engineering practices. AI-driven sustainability efforts allow organizations to meet environmental goals while maintaining their project's cost-effectiveness and efficiency [36][37][38][39]45,46].…”

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confidence: 99%

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Fuzzy Integrated Delphi-ISM-MICMAC Hybrid Multi-Criteria Approach to Optimize the Artificial Intelligence (AI) Factors Influencing Cost Management in Civil Engineering

Hu,

Jiang,

Goswami

et al. 2024

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This research paper presents a comprehensive study on optimizing the critical artificial intelligence (AI) factors influencing cost management in civil engineering projects using a multi-criteria decision-making (MCDM) approach. The problem addressed revolves around the need to effectively manage costs in civil engineering endeavors amidst the growing complexity of projects and the increasing integration of AI technologies. The methodology employed involves the utilization of three MCDM tools, specifically Delphi, interpretive structural modeling (ISM), and Cross-Impact Matrix Multiplication Applied to Classification (MICMAC). A total of 17 AI factors, categorized into eight broad groups, were identified and analyzed. Through the application of different MCDM techniques, the relative importance and interrelationships among these factors were determined. The key findings reveal the critical role of certain AI factors, such as risk mitigation and cost components, in optimizing the cost management processes. Moreover, the hierarchical structure generated through ISM and the influential factors identified via MICMAC provide insights for prioritizing strategic interventions. The implications of this study extend to informing decision-makers in the civil engineering domain about effective strategies for leveraging AI in their cost management practices. By adopting a systematic MCDM approach, stakeholders can enhance project outcomes while optimizing resource allocation and mitigating financial risks.

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Section: Previous Studies Involving the Fuzzy Integrated Delphi-ism-m...mentioning

confidence: 99%

mentioning

confidence: 99%

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Fuzzy Integrated Delphi-ISM-MICMAC Hybrid Multi-Criteria Approach to Optimize the Artificial Intelligence (AI) Factors Influencing Cost Management in Civil Engineering

Hu,

Jiang,

Goswami

et al. 2024

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“…While they exhibit numerous similarities to cast-in-place concrete structures, they lack the inherent member-to-member continuity that imparts significant lateral stability [26]. Precast structures should be handled similarly to post and beam structures made of wood or steel [27][28][29]. This issue is exacerbated by the augmented dead weight of the structure, leading to an additional lateral force [17,26].…”

Section: Figure 2 Ibs Block House [2]mentioning

confidence: 99%

Lateral Displacement Behavior of IBS Precast Concrete Elements Reinforced with Dual System

Mohammed Al-Fasih,

Edris,

Elbialy

et al. 2024

Civ Eng J

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Throughout history, the construction industry has been a significant contributor to construction waste, presenting an ongoing challenge in efficiently managing this waste to mitigate environmental pollution. The Industrialized Building System (IBS) stands out as a construction approach that utilizes prefabricated components made from various waste materials, implemented with machinery and formwork, leading to minimal waste production. The potential failure of IBS blockwork columns under lateral loads is a significant concern, and the deformation of these columns is crucial in assessing overall structural performance against lateral forces. This study focuses on examining the deformation and flexibility of components in IBS blockwork columns when subjected to lateral loads. Using Finite Element Modeling (FEM), a 1:5 scale prototype model of the dual-reinforced system IBS Block Work Column is analyzed. The IBS Block Work Column, comprising four prefabricated components assembled in the form of a crucifix plan to enhance lateral stability, is subjected to FEM analysis and experimental investigations. The study aims to explore the impact of four different shapes of reinforcement on deformation resistance. The findings suggest that employing a dual-reinforced system in the IBS Block Work Column enhances its resistance to lateral loads compared to a column with conventional reinforcement. Moreover, the assembled IBS Block Work Column exhibits greater stiffness than a single prefabricated component when subjected to lateral loads. Doi: 10.28991/CEJ-2024-010-01-020 Full Text: PDF

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“…The widespread applications and associated research into the assembled frame structures primarily stem from their characteristics, such as extensive engineering applicability and outstanding structural performance [2,3]. The connection performance of joints plays a crucial role in the seismic performance of assembled structures, and assembled structure connections can be categorized in different ways [4][5][6][7][8]. Connections can be categorized into equivalent cast-in-place connections and non-equivalent cast-in-place connections based on the different resistance modes.…”

Section: Introductionmentioning

confidence: 99%

The Cyclic Performance and Macro-Simplified Analytical Model of Internal Joints in RC-Assembled Frame Structures Connected by Unbonded Prestressed Strands and Mortise-Tenon Based on Numerical Studies

Wang,

Zhang,

Zhang

2024

Buildings

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This paper introduces a novel type of connection that integrates unbonded prestressed strands (UPS) and mortise-tenon in an assembly frame structure (UPS-MTF). First, the damage process and failure modes of the joints under reciprocating horizontal loads were systematically analyzed using refined numerical models. The recommended values of the design parameters of the joints were derived from the parametric analysis results. Refined numerical modeling results reveal the diagonal compression strut mechanism within the core region of the joint. The diagonal compression struts model assists in establishing the theoretical calculation formula for the skeleton curve of shear stress–strain in the core region. Second, a genetic algorithm (GA) parameter was identified for the restoring force model of the core region to determine the parameters of the hysteresis rules. Finally, a macro-simplified analytical model of the joint was created based on the restoring force model of the core region, and parameter analysis was conducted to verify the applicability of this macro-simplified analytical model. The research results prove that the damaged form of the joint proposed in this paper originates from the shear and relative slip damage between the components in the core region. The axial compression ratio significantly affects the hysteretic performance of the joints, and the upper and lower limit values were identified for the axial compression ratio of the joints. The area and initial effective stress of the UPS exert a minimal effect on the hysteretic performance of the joint. Based on the method proposed in this paper for determining the restoring force model in the core region of the joints, the hysteresis curves obtained from the macro-simplified analytical model closely match the refined numerical analysis model results. This correspondence verifies the applicability of the macro-simplified analytical model.

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A systematic literature review on modern methods of construction in building: An integrated approach using machine learning

Cited by 25 publications

References 140 publications

Fuzzy Integrated Delphi-ISM-MICMAC Hybrid Multi-Criteria Approach to Optimize the Artificial Intelligence (AI) Factors Influencing Cost Management in Civil Engineering

Fuzzy Integrated Delphi-ISM-MICMAC Hybrid Multi-Criteria Approach to Optimize the Artificial Intelligence (AI) Factors Influencing Cost Management in Civil Engineering

Lateral Displacement Behavior of IBS Precast Concrete Elements Reinforced with Dual System

The Cyclic Performance and Macro-Simplified Analytical Model of Internal Joints in RC-Assembled Frame Structures Connected by Unbonded Prestressed Strands and Mortise-Tenon Based on Numerical Studies

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