All Stories

  1. Life cycle and durability based sustainability assessment of concrete incorporating municipal solid waste incinerated fly ash: An India‐specific study
  2. Optimized banana leaf ash concrete: Mechanical performance, durability, and sustainability assessment
  3. Improving the flexural and post‐cracking behavior of fly ash‐based concrete using hybrid steel fibers
  4. Prompt to Protection: A Comparative Study of Multimodal LLMs in Construction Hazard Recognition
  5. Wind response of rectangular high-rise buildings: an integrated analytical, experimental, and machine learning study
  6. Sustainable strength prediction of textile waste concrete using hybrid machine learning models
  7. Sustainable concrete incorporating banana leaf ash: strength prediction and optimisation using advanced machine learning algorithms
  8. Eco-friendly asphalt design: machine learning analysis of stone mastic asphalt containing shredded cigarette butt fibres
  9. Predicting split tensile strength of hollow concrete blocks using PCA-enhanced machine learning models
  10. Construction Delays Due to Weather in Cold Regions: A Two-Stage Structural Equation Modeling and Artificial Neural Network Approach
  11. Advances in Enhancing Earthquake Resilience of Concrete Infrastructure: A State-of-the-Art Review
  12. Exploring the Suitability of Bambusa Vulgaris Leaf Ash as a Biomass Filler in Asphalt Mixtures
  13. Evaluating sustainability-related deliverables across the construction project lifecycle: a Delphi study
  14. Investigating the Impact of Biaxial Geogrid Reinforcement on Subgrade Soil Strength Enhancement: A Machine Learning Analysis Using the MARS Model
  15. Predicting the compressive strength of polymer-infused bricks: A machine learning approach with SHAP interpretability
  16. Machine learning approach for predicting the compressive strength of biomedical waste ash in concrete: a sustainability approach
  17. Analyzing the influence of manufactured sand and fly ash on concrete strength through experimental and machine learning methods
  18. Modeling barriers to the adoption of metaverse in the construction industry: An application of fuzzy-DEMATEL approach
  19. Enhancing urban sustainability: a study on lightweight and pervious concrete incorporating recycled plastic
  20. Performance evaluation of controlled low-strength blended cement concrete modified with recycled waste materials
  21. A Path towards SDGs: Investigation of the Challenges in Adopting 3D Concrete Printing in India
  22. Enhancing construction safety: predicting worker sleep deprivation using machine learning algorithms
  23. Evaluation of asphalt binder and mixture properties utilizing fish scale powder as a biomodifier
  24. Comparative study of step-back and step-back setback configurations of multi-story buildings with varying height on sloped terrain
  25. Modelling the mechanical properties of concrete produced with polycarbonate waste ash by machine learning
  26. A Comprehensive Review of Recent Experimental and Numerical Investigations on the Impact of Openings in Steel Plate Shear Walls (SPSWs)
  27. Predicting the fire-induced structural performance of steel tube columns filled with SFRC-enhanced concrete: using artificial neural networks approach
  28. A strategic roadmap for combating barriers negating the implementation of prefabricated net-zero carbon buildings
  29. Effect of soft story conditions on the seismic performance of tall concrete structures
  30. An environmental sustainability roadmap for partially substituting agricultural waste for sand in cement blocks
  31. Evaluating the potential of geopolymer concrete as a sustainable alternative for thin white-topping pavement
  32. Establishing the root causes of unsafe behaviors among construction workers: an integrative interpretive structural modeling analysis
  33. A Longitudinal Study Examining the Association between Cognitive Behavior and Rational Abilities and the Effect of Sleep Quality on Construction Laborers
  34. Assessing Factors Affecting Construction Equipment Productivity Using Structural Equation Modeling
  35. Assessing thermo-physical products’ efficiency in the building and construction industry: a bibliometric analysis approach
  36. An assessment of prevalence of poor sleep quality among construction workers in Southern India
  37. Prioritizing causal factors of sleep deprivation among construction workers: An interpretive structural modeling approach
  38. Evaluation of sleep quality and duration using wearable sensors in shift laborers of construction industry: A public health perspective
  39. A Quantitative Analysis Between Sleep and Psychological Behaviour of Indian Construction Workers
  40. Intellectual Human Behaviour On Business Environment On 3’c Model
  41. Application of CRM Techniques for predicting the consequences of Laborers Sleep Deprivation in Construction Projects
  42. Behaviour of Battered Pile Subjected to Lateral Load
  43. Evaluation of Operational BRTS System in Bangalore
  44. Experimental Study on Properties of Fresh and Hardened Concrete with Treated Waste Domestic Water
  45. A Case Study on Impact of Labours Sleep Deprivation in Construction Project using Application Method
  46. Partial Replacement of Biomedical Waste ASH in Concrete
  47. Experiment of Partial Replacement of Egg Shell Powder and Coconut Fibre in Concrete