Recent Trends in Civil Engineering & Technology
Volume 16, Issue 2 (2026)
Table of contents
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Enhanced Sustainable Concrete Mix Design Using LLMs and Advanced Machine Learning Techniques
Abstract: Large Language Models (LLMs) are emerging as transformative tools in materials science, offering human-like reasoning, zero-shot problem solving, and the ability to integrate fuzzy laboratory knowledge with structured data. This study extends and reinterprets the original systematic benchmark for using LLMs in sustainable concrete design, particularly for Alkali-Activated Concrete (AAC). We introduce an enhanced, multi-model framework combining LLM-based inverse design, Random Forest regression, Gaussian Process Regression (GPR), and a lightweight …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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Performance Based Seismic Evaluation of G+12 RCC Structures in Seismic Zone IV with and without Corner Shear Walls Considering Soil Types I, II, and III
Abstract: Seismic behavior of multi-storey buildings is significantly influenced by structural stiffness and supporting soil conditions. This study investigates the seismic response of a G+12 reinforced concrete building by comparing two structural configurations, namely buildings with shear walls and buildings without shear walls, under three soil conditions: Type I, Type II, and Type III soils. The analysis is carried out using the response spectrum method in accordance with IS 1893 (Part …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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Application of Artificial Neural Networks in Optimizing Polyhouse Roof Truss Design
Abstract: Polyhouses are specialised agricultural structures developed to maintain controlled environmental conditions for crop cultivation, thereby ensuring consistent productivity even under adverse climatic circumstances. The performance of these systems largely relies on the structural stability and cost efficiency of the roof truss, which must achieve an effective balance between strength, adaptability, and economy. In this research, an Artificial Neural Network (ANN)-based modelling framework is introduced to optimise the members of polyhouse …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 15–25 Read article