Experimental investigation on the damage behavior of high-performance engineered cementitious composites subjected to triaxial monotonic and cyclic compression DOI
Zhiwen Wang,

Bixiong Li,

Lianghui Li

и другие.

Construction and Building Materials, Год журнала: 2024, Номер 458, С. 139589 - 139589

Опубликована: Дек. 20, 2024

Язык: Английский

A State-of-the-Art Review on Structural Strengthening Techniques with FRPs: Effectiveness, Shortcomings, and Future Research Directions DOI Open Access

Muhammad Hammad,

Alireza Bahrami, Sikandar Ali Khokhar

и другие.

Materials, Год журнала: 2024, Номер 17(6), С. 1408 - 1408

Опубликована: Март 19, 2024

In the pursuit of creating more sustainable and resilient structures, exploration construction materials strengthening methodologies is imperative. Traditional methods relying on steel for proved to be uneconomical unsustainable, prompting investigation innovative composites. Fiber-reinforced polymers (FRPs), known their lightweight high-strength properties, gained prominence among structural engineers in 1980s. This period saw development novel approaches, such as near-surface mounted externally bonded reinforcement, concrete structures using FRPs. recent decades, additional methods, including surface curvilinearization external prestressing, have been discovered, demonstrating significant benefits. While these techniques shown enhanced performance, full potential remains untapped. article presents a comprehensive review current approaches employed fortification reinforced cement It concludes by identifying key areas that warrant in-depth research establish methodology strengthening, positioning FRPs an effective replacement conventional retrofitting materials. aims contribute ongoing discourse modern strategies, highlight properties FRPs, propose avenues future this dynamic field.

Язык: Английский

Процитировано

12

Artificial intelligence-enhanced non-destructive defect detection for civil infrastructure DOI Creative Commons
Yong‐Wei Zhang, Cheuk Lun Chow, Denvid Lau

и другие.

Automation in Construction, Год журнала: 2025, Номер 171, С. 105996 - 105996

Опубликована: Янв. 28, 2025

Процитировано

2

AI-based constitutive model simulator for predicting the axial load-deflection behavior of recycled concrete powder and steel fiber reinforced concrete column DOI
Aneel Manan, Pu Zhang, Weiyi Chen

и другие.

Construction and Building Materials, Год журнала: 2025, Номер 470, С. 140628 - 140628

Опубликована: Март 3, 2025

Язык: Английский

Процитировано

2

Advancing mix design prediction in 3D printed concrete: Predicting anisotropic compressive strength and slump flow DOI Creative Commons
Umair Jalil Malik, Raja Dilawar Riaz, Saif Ur Rehman

и другие.

Case Studies in Construction Materials, Год журнала: 2024, Номер 21, С. e03510 - e03510

Опубликована: Июль 11, 2024

Introducing 3D-concrete printing has started a revolution in the construction industry, presenting unique opportunities alongside undeniable challenges. Among these, major challenge is iterative process associated with mix design formulation, which results significant material and time consumption. This research uses machine learning (ML) techniques such as Extreme Gradient Boosting (XGBoost), Support Vector Machine (SVM), Decision Tree Regression (DTR), Gaussian Process (GPR), Artificial Neural Network (ANN) to overcome these A dataset containing 21 constituent features 4 output properties (cast printed compressive strength, slump flow) was extracted from literature investigate relationship between performance. The models were assessed using range of evaluation metrics, including Mean Absolute Error (MAE), Root Squared (RMSE), (MSE), R-squared value. (GPR) yielded more favorable results. In case cast GPR achieved an R2 value 0.9069, along RMSE, MSE, MAE values 13.04, 170.12, 9.40, respectively. similar trend observed for strengths directions 1, 2, 3. exceeding 0.91 all directions, accompanied by significantly lower RMSE (below 4.1). also validated four designs. These mixes 3D tested strength flow. GPR's average error 10.55 %, while SVM slightly 9.38 %. Overall, this work presents novel approach optimizing 3D-printed concrete enabling prediction flow directly design. can facilitate fabrication structures that fulfill necessary printability requirements.

Язык: Английский

Процитировано

5

An intelligent approach for predicting strength of roadbed foam lightweight concrete based on optimized XGBoost model DOI Creative Commons
Wanmao Zhang, Dunwen Liu, Yu Tang

и другие.

Case Studies in Construction Materials, Год журнала: 2025, Номер unknown, С. e04702 - e04702

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Machine learning-based prediction of flexural strength in graphene-enhanced RC beams using ANN, GPR, REP tree, and AR_M5P models DOI
Sachin Sharma, Amit Garg, Bishnu Kant Shukla

и другие.

Asian Journal of Civil Engineering, Год журнала: 2025, Номер unknown

Опубликована: Май 15, 2025

Язык: Английский

Процитировано

0

Engineered Cementitious Composites for Sustainable and Long-Lasting Infrastructures DOI

Muhammad Hammad,

Alireza Bahrami, Sikandar Ali Khokhar

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Innovative Materials and Strategies for Low-Carbon Concrete DOI
Alireza Bahrami, Muhammad Hammad, Sana Ullah

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Flexural Behavior of Self-Compacting PVA-SHCC Bridge Deck Link Slabs DOI Creative Commons
Haiyang Luan, Ying-Fang Fan, Yin Wang

и другие.

Buildings, Год журнала: 2024, Номер 14(8), С. 2469 - 2469

Опубликована: Авг. 10, 2024

This paper studied the flexural behavior of bridge deck link slabs made with polyvinyl alcohol–strain-hardening cementitious composites (PVA-SHCC). The tensile and properties self-compacting PVA-SHCC four volume fractions, i.e., 0%, 1%, 1.5%, 2%, were evaluated first. Next, using similarity theory, composite models a geometric ratio 1:5 designed to represent slabs. considered three materials for slabs, including concrete, cement mortar, PVA-SHCC, two different curing ages at 7 56 days. Bending tests performed investigate models. Based on fractal cracking characteristics types compared, relationship between dimensions was studied. Numerical built correlate results from bending tests. It illustrated that slab is better than concrete mortar where crack initiation propagation can be postponed. provide theoretical support design guidance deck.

Язык: Английский

Процитировано

2

A Comprehensive Study on Evaluating Effective Cracked Stiffness of Engineered Cementitious Composite (Ecc): Experimental Findings and Proposed Stiffness Modifiers DOI

Muhammad Hammad,

Umair Jalil Malik,

Faizan Ali

и другие.

Опубликована: Янв. 1, 2024

Engineered cementitious composites (ECC) have emerged as a promising alternative to conventional Reinforced cement concrete (RCC) due their unique micro-crack bridging and tension hardening properties. These characteristics enable ECC exhibit superior ductility, damage tolerance, durability, greater stiffness compared traditional materials. Despite the numerous advantages of ECC, its widespread adoption in construction industry has been hindered by need for comprehensive design guidelines reliance on modifiers (k) derived from RCC. This study addresses this gap investigating effective section (ESS) or elastic proposes k value specifically tailored beams. Furthermore, it examines stress-strain behavior under both compression tension. For evaluation ESS, twenty-seven rectangular beams with various cross-section sizes (aspect ratios–h/b), reinforcement ratios (ρ%), compressive strength (fc´) were considered. Moment curvature (M-[[EQUATION]]) curves obtained idealized bi-linear form calculate ESS factor. The results reveal that ρ%, fc´, h/b ratio significantly influence members. determined is 33.4% higher findings contribute better understanding properties implications structural design. By addressing current limitations research potential promote use innovative material industry, leading more resilient, sustainable, cost-effective infrastructure.

Язык: Английский

Процитировано

0