Article: Performance optimisation of prefabricated concrete structure using intelligent finite element analysis Journal: International Journal of Information and Communication Technology (IJICT) 2026 Vol.27 No.2 pp.19 - 40 Abstract: Driven by rapid urbanisation and 'dual-carbon' targets, conventional cast-in-place construction struggles with high energy use, pollution, and low efficiency. Prefabricated concrete buildings improve productivity and sustainability, yet joint connections govern global load capacity, seismic behaviour, and durability. This study develops and validates a finite-element optimisation framework for prefabricated concrete joints. Concrete is modelled with the concrete damage plasticity (CDP) formulation and steel components with the von Mises yield criterion, including nonlinear material behaviour, contact interaction, and displacement-controlled loading (perfect bond assumed between sleeve grout and reinforcement). Parametric analyses evaluate concrete strength (C30/C40/C50), reinforcement ratio (1.0%/1.2%/1.5%), and bolt diameter (18/20/25 mm). Relative to C30, bearing capacity increases by 4.53% (C40) and 9.93% (C50); raising reinforcement to 1.2% and 1.5% improves capacity by 6.04% and 15.29%; and enlarging bolts to 20 and 25 mm increases capacity by 6.15% and 13.34%. Validation achieves 6%-8% average error and R<SUP align="right"><SMALL>2</SMALL></SUP> = 0.984. Inderscience Publishers - linking academia, business and industry through research

Title: Performance optimisation of prefabricated concrete structure using intelligent finite element analysis

Authors: Jie Gao

Addresses: School of Engineering Management, Anhui Audit Vocational College, Hefei, 230000 China

Abstract: Driven by rapid urbanisation and 'dual-carbon' targets, conventional cast-in-place construction struggles with high energy use, pollution, and low efficiency. Prefabricated concrete buildings improve productivity and sustainability, yet joint connections govern global load capacity, seismic behaviour, and durability. This study develops and validates a finite-element optimisation framework for prefabricated concrete joints. Concrete is modelled with the concrete damage plasticity (CDP) formulation and steel components with the von Mises yield criterion, including nonlinear material behaviour, contact interaction, and displacement-controlled loading (perfect bond assumed between sleeve grout and reinforcement). Parametric analyses evaluate concrete strength (C30/C40/C50), reinforcement ratio (1.0%/1.2%/1.5%), and bolt diameter (18/20/25 mm). Relative to C30, bearing capacity increases by 4.53% (C40) and 9.93% (C50); raising reinforcement to 1.2% and 1.5% improves capacity by 6.04% and 15.29%; and enlarging bolts to 20 and 25 mm increases capacity by 6.15% and 13.34%. Validation achieves 6%-8% average error and R² = 0.984.

Keywords: intelligent construction; prefabricated concrete structure; node mechanical performance; finite element analysis; structural optimisation.

DOI: 10.1504/IJICT.2026.151487

International Journal of Information and Communication Technology, 2026 Vol.27 No.2, pp.19 - 40

Received: 23 Sep 2025
Accepted: 29 Oct 2025
Published online: 02 Feb 2026 *

Title: Performance optimisation of prefabricated concrete structure using intelligent finite element analysis

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