Three-dimensional (3D) printing in the construction industry is growing rapidly due to its inherent advantages, including intricate geometries, reduced waste, accelerated construction, cost-effectiveness, eco-friendliness, and improved safety. However, optimizing mixture composition for 3D-printed concrete remains a formidable task, encompassing multiple variables requiring comprehensive trial-and-error experimentation process. Accordingly, this study used seven machine learning (ML)...

The construction sector is a major contributor to global greenhouse gas emissions. Using recycled and waste materials in concrete practical solution address environmental challenges. Currently, agricultural widely used as substitute for cement the production of eco-friendly concrete. However, traditional methods assessing strength such are both expensive time-consuming. Therefore, this study uses machine learning techniques develop prediction models compressive (CS) rice husk ash (RHA) ML...

In recent years, the construction industry has been striving to make production faster and handle more complex architectural designs. Waste reduction, geometric freedom, lower costs, speedy 3D-printed fiber-reinforced concrete (3DPFRC) alternative for future construction. However, achieving optimum mixture composition 3DPFRC remains a daunting task, entailing consideration of multiple variables necessitating an extensive trial-and-error experimental process. Therefore, this study...

This paper presents a multi-product, multi-period construction supply chain model, accounting for supplier capacity and material demand uncertainties. Robust optimisation is adopted to address model Research questions proposed are focused on: i). back-up sourcing backordering decisions' sensitivity associated cost factors, ii). effects of the inventory system on overall risk management. The answers these provide valuable insights enhancing resilience chains informative general contractors....

Abstract Geo-polymer concrete has a significant influence on the environmental condition and thus its use in civil industry leads to decrease carbon dioxide (CO 2 ) emission. However, problems lie with mixed design casting field. This study utilizes supervised artificial-based machine learning algorithms (MLAs) anticipate mechanical characteristic of fly ash/slag-based geopolymer (FASBGPC) by utilizing AdaBoost Bagging MLPNN make an ensemble model 156 data points. The consist GGBS (kg/m 3 ),...

The excessive depletion of groundwater resources and significant climate change have exerted immense pressure on global reserves. Owing to the rising demand for drinking water, as well its use in agriculture industry, there is an increasing need evaluate capacity effectiveness underground water reservoirs (aquifers). Recently, GIS has gained attention exploration because ability provide rapid comprehensive information about further development. This study aims assess map potential a large...

The aim of this research is to predict preplaced-aggregate concrete (PAC) compressive strength (CS) by using machine learning approaches such as gene expression programming (GEP) and random forest (RF). PAC requires injecting a portland cement-sand grout with admixtures into mold after coarse aggregate has been deposited, making CS prediction complicated requiring substantial study. Machine methods were used cut down on the time money needed for extensive experimental testing. database...

This research offers valuable perspectives on the nexus between urbanization and smart environment within Najran city, Saudi Arabian context. City, with its diverse districts evolving urban landscape, is at forefront of adopting advanced technologies participatory governance models to create a resilient, environmentally conscious, sustainable environment, likewise positioning itself as model development but also fostering an innovation-driven community equipped address difficulties exploit...

Sometimes civil engineering infrastructures have been constructed in hot and cold weathering regions such as desert areas. In situations, the concrete is not only smashed by processes but also spoiled shrinkage cracking. Therefore, this study intends to examine influence of heat–cool cycles on high-strength comprising various fibers, natural date palm, polypropylene, steel their different volume percentages. The most popular technique for improving structural behavior fiber insertion. Fibers...

Saudi Arabia, like many other developing countries, has had extensive experience with rapid urbanisation and infrastructure expansion, especially in the area of buildings. Buildings play an even bigger part, accounting for roughly 80% total national electricity consumption. Forecasts indicate that domestic energy consumption will rise at a rate 4% to 5% annually by 2030, based on current local patterns. A significant portion this growth results from inefficient use energy, absence...

This study utilized hot and cold indices to evaluate the changes in extreme temperature events that occurred subtropical highland climates from 1991 2020. The modified Mann–Kendall (MMK) test Theil–Sen (TS) slope estimator were used analyze linear trends time series of indices. northern highlands Pakistan (NHP) considered as a case region. results showed annual maximum had slightly increasing tendency (at rate 0.14 °C/decade), while minimum decreasing −0.02 °C/decade). However, these not...

Rubberised cementitious material has gained significant attention within the civil engineering community. However, gap and voids between rubber particles cement gel remain challenge. To tackle these issues, silica fume (SF) graphene nanoplatelets (GnPs) were used to enhance microstructure of rubberised mortar at micro nano scale levels. Silica was added 20% weight, while, inoculation GnPs varied from 0.02% 0.6% as replacement powder ranged 2% 8% sand (by volume). The compressive (CS),...

In this research, the effect of heat–cool cycles (HCCs) on high-strength concrete (HSC) containing steel fibres (SFs), polypropylene (PPFs), and date palm (DPFs), which were named fibrous (FHSC), was studied. To produce FHSC, three doses 0.2, 0.6, 1 percent each fibre used. All samples tested after 28 days normal water curing 270 exposure to HCCs (continuing authors’ project research published at 180 days). This entails heating for 2 60 C in oven cooling another room temperature days. The...