All Stories

  1. Sustainable construction adoption in a developing economy: the role of institutional pressures, organisational capacity and lifecycle cost orientation in Nigeria
  2. Ethical AI in the Management of Defence Projects
  3. Correction: Khan et al. Estimating Flexural Strength of FRP Reinforced Beam Using Artificial Neural Network and Random Forest Prediction Models. Polymers 2022, 14, 2270
  4. Challenges of digital transformation in facilities management in Saudi Arabia
  5. Trajectories of circular economy in cities: Key patterns and emerging pathways
  6. Durability Performance of Alkali-Activated Natural Pozzolan and Limestone Powder Mortar in Sulfate Environments
  7. A hybrid machine learning approach for predicting fiber-reinforced polymer-concrete interface bond strength
  8. Generative artificial intelligence in construction: A Delphi approach, framework, and case study
  9. The Curse to Project Innovation; Role of Passive Leadership
  10. Optimizing sustainable desalination plants with advanced ML-based uncertainty analysis
  11. Global big data laboratory experiment, integrated with kernel-based algorithm with an improved nonlinear ensemble for compressive strength modeling
  12. Off-grid multi-region energy system design based on energy load demand estimation using hybrid nature-inspired optimization algorithms
  13. Investigating the influence of erratic grid on stationary battery energy storage technologies in hybrid power systems: Techno-environ-economic perspectives
  14. Preventing construction site theft in Nigeria: an exploratory factor analysis of the root causes
  15. Computational approach towards shear strength prediction of squat RC walls implementing ensemble and hybrid SVR paradigms
  16. Evaluating long-term durability of nanosilica-enhanced alkali-activated concrete in sulfate environments towards sustainable concrete development
  17. Polymer-enhanced concrete: A comprehensive review of innovations and pathways for resilient and sustainable materials
  18. Exploring the interrelationships between composition, rheology, and compressive strength of self-compacting concrete: An exploration of explainable boosting algorithms
  19. Development of integrative data intelligence models for thermo-economic performances prediction of hybrid organic rankine plants
  20. GPT models in construction industry: Opportunities, limitations, and a use case validation
  21. New-generation machine learning models as prediction tools for modeling interfacial tension of hydrogen-brine system
  22. MXenes: Synthesis, properties, and applications for sustainable energy and environment
  23. Building energy loads prediction using bayesian-based metaheuristic optimized-explainable tree-based model
  24. Genetic neuro-computing model for insights on membrane performance in oily wastewater treatment: An integrated experimental approach
  25. Corrigendum to ‘Graphene-based concrete: Synthesis strategies and reinforcement mechanisms in graphene-based cementitious composites (Part 1)’ [Construct. Build. Mater. 396 (2023) 132296]
  26. Microencapsulated phase change materials for enhanced thermal energy storage performance in construction materials: A critical review
  27. Graphene-based concrete: Synthesis strategies and reinforcement mechanisms in graphene-based cementitious composites (Part 1)
  28. Implementation of nonlinear computing models and classical regression for predicting compressive strength of high-performance concrete
  29. Evaluating mechanical, microstructural and durability performance of seawater sea sand concrete modified with silica fume
  30. Intelligent optimization for modelling superhydrophobic ceramic membrane oil flux and oil-water separation efficiency: Evidence from wastewater treatment and experimental laboratory
  31. Using explainable machine learning to predict compressive strength of blended concrete: a data-driven metaheuristic approach
  32. High strength concrete compressive strength prediction using an evolutionary computational intelligence algorithm
  33. An overview of factors influencing the properties of concrete incorporating construction and demolition wastes
  34. Indirect Estimation of Swelling Pressure of Expansive Soil: GEP versus MEP Modelling
  35. Analysis of industrial symbiosis case studies and its potential in Saudi Arabia
  36. Dynamics of Greenhouse Gas Emissions From Cement Industries in Saudi Arabia—Challenges and Opportunities
  37. Implementation of Nonlinear Computing Models and Classical Regression for Predicting Compressive Strength of High-Performance Concrete
  38. Multi-Input Attributes Scenarios Using Machine Learning Models: A Prediction of the Elastic Modulus of Concrete Containing Sawdust Ash Cured in NaCl Solution
  39. Acid Resistance of Alkali-Activated Natural Pozzolan and Limestone Powder Mortar
  40. Investigating the Bond Strength of FRP Laminates with Concrete Using LIGHT GBM and SHAPASH Analysis
  41. Engineered and green natural pozzolan-nano silica-based alkali-activated concrete: shrinkage characteristics and life cycle assessment
  42. Estimating compressive strength of lightweight foamed concrete using neural, genetic and ensemble machine learning approaches
  43. Technological trends in activation and modification of palm oil fuel ash for advanced water and wastewater treatment – A review
  44. Prediction Models for Estimating Compressive Strength of Concrete Made of Manufactured Sand Using Gene Expression Programming Model
  45. A framework for the safe use of bamboo scaffolding in the Nigerian construction industry
  46. Prediction Models for Evaluating Resilient Modulus of Stabilized Aggregate Bases in Wet and Dry Alternating Environments: ANN and GEP Approaches
  47. Prediction of Strength and CBR Characteristics of Chemically Stabilized Coal Gangue: ANN and Random Forest Tree Approach
  48. Estimating Flexural Strength of FRP Reinforced Beam Using Artificial Neural Network and Random Forest Prediction Models
  49. Predicting Bond Strength between FRP Rebars and Concrete by Deploying Gene Expression Programming Model
  50. Compressive Strength Estimation of Fly Ash/Slag Based Green Concrete by Deploying Artificial Intelligence Models
  51. Technological trends in nanosilica synthesis and utilization in advanced treatment of water and wastewater
  52. Cement-based batteries design and performance. A review
  53. A review on the durability performance of alkali-activated binders subjected to chloride-bearing environment
  54. On the control of viscoelastic damped swelling porous elastic soils with internal delay feedbacks
  55. Mathematical prediction of the compressive strength of bacterial concrete using gene expression programming
  56. Strength and Acid Resistance of Ceramic-Based Self-Compacting Alkali-Activated Concrete: Optimizing and Predicting Assessment
  57. Assessment of acid resistance of natural pozzolan-based alkali-activated concrete: Experimental and optimization modelling
  58. Predicting the compressive strength of a quaternary blend concrete using Bayesian regularized neural network
  59. Data-driven model for ternary-blend concrete compressive strength prediction using machine learning approach
  60. Tackling the impacts of Covid-19 on construction projects: an exploration of contractual dispute avoidance measures adopted by construction firms
  61. Coping with the Covid-19 pandemic: an exploration of the strategies adopted by construction firms
  62. Bio-inspired self-healing of concrete cracks using new B. pseudomycoides species
  63. Effect of alkaline activator ratio on the compressive strength response of POFA-EACC mortar subjected to elevated temperature
  64. Ensemble machine learning model for corrosion initiation time estimation of embedded steel reinforced self-compacting concrete
  65. A risk assessment approach for enhancing construction safety performance
  66. Palm oil fuel ash (POFA) as a demulsifier for crude oil emulsions: Performance and mechanism
  67. Influence of composition and concentration of alkaline activator on the properties of natural-pozzolan based green concrete
  68. Impact of Al(OH)3 addition to POFA on the compressive strength of POFA alkali-activated mortar
  69. Performance of POFA-Based Alkali-Activated Mortar Exposed to Elevated Temperatures
  70. POFA-Engineered Alkali-activated Cementitious Composite Performance in Acid Environment
  71. Modelling the early strength of alkali-activated cement composites containing palm oil fuel ash
  72. Durability performance of Palm Oil Fuel Ash-based Engineered Alkaline-activated Cementitious Composite (POFA-EACC) mortar in sulfate environment
  73. Impact of added water and superplasticizer on early compressive strength of selected mixtures of palm oil fuel ash-based engineered geopolymer composites
  74. Mechanical properties and durability characteristics of SCC incorporating crushed limestone powder