Weina Meng
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View article: Review of AI-assisted design of low-carbon cost-effective concrete toward carbon neutrality
Review of AI-assisted design of low-carbon cost-effective concrete toward carbon neutrality Open
Decarbonizing concrete production is a critical step toward achieving carbon neutrality by 2050. This paper highlights the advancements in artificial intelligence-assisted design of low-carbon cost-effective concrete, focusing on integrati…
View article: Automatic Construction and Utilization of Knowledge Graph for Accelerated Design and Understanding of Ultra-High-Performance Concrete
Automatic Construction and Utilization of Knowledge Graph for Accelerated Design and Understanding of Ultra-High-Performance Concrete Open
View article: A review of knowledge-guided data-driven design for ultra-high-performance concrete incorporating varying wastes as alternative binders
A review of knowledge-guided data-driven design for ultra-high-performance concrete incorporating varying wastes as alternative binders Open
View article: Multi-Agent Collaboration for Knowledge-Guided Data-Driven Design of Ultra-High-Performance Concrete (Uhpc) Incorporating Solid Wastes
Multi-Agent Collaboration for Knowledge-Guided Data-Driven Design of Ultra-High-Performance Concrete (Uhpc) Incorporating Solid Wastes Open
View article: Knowledge-Guided Data-Driven Design of Ultra-High-Performance Geopolymer (Uhpg)
Knowledge-Guided Data-Driven Design of Ultra-High-Performance Geopolymer (Uhpg) Open
View article: Formulating Chloride Migration Coefficient of Sustainable Concrete with Supplementary Cementitious Materials Based on Expression Programming Techniques
Formulating Chloride Migration Coefficient of Sustainable Concrete with Supplementary Cementitious Materials Based on Expression Programming Techniques Open
View article: Knowledge-Guided Data-Driven Design of Ultra-High-Performance Concrete (Uhpc) with Interpretability and Physicochemical Reaction Discovery Capabilities
Knowledge-Guided Data-Driven Design of Ultra-High-Performance Concrete (Uhpc) with Interpretability and Physicochemical Reaction Discovery Capabilities Open
View article: Self-updatable AI-assisted design of low-carbon cost-effective ultra-high-performance concrete (UHPC)
Self-updatable AI-assisted design of low-carbon cost-effective ultra-high-performance concrete (UHPC) Open
Machine learning has exhibited high efficiency in designing concrete. However, collecting the dataset for training machine learning models is challenging. To address this challenge, this paper develops an approach to collect concrete desig…
View article: Development of Ultra-High-Performance Concrete (UHPC) for Bridge Deck Overlay
Development of Ultra-High-Performance Concrete (UHPC) for Bridge Deck Overlay Open
With superior mechanical strength and durability, ultra-high-performance concrete (UHPC) is becoming an emerging rehabilitation material for the bridge deck overlay. However, there still exists several challenges to prevent the wide applic…
View article: AI-Guided Auto-Discovery of Low-Carbon Cost-Effective Ultra-High Performance Concrete: Data Synthesis, Semi-supervised Learning, and Many-Objective Optimization
AI-Guided Auto-Discovery of Low-Carbon Cost-Effective Ultra-High Performance Concrete: Data Synthesis, Semi-supervised Learning, and Many-Objective Optimization Open
This study presents an AI-guided approach to automatically discover low-carbon cost-effective ultra-high performance concrete (UHPC). The presented approach automates data augmentation, machine learning model generation, and mixture select…
View article: Deep Learning Aided Crack Identification and Quantification of Microcracks of Ultra-High- Performance Fiber Reinforced Cementitious Composite
Deep Learning Aided Crack Identification and Quantification of Microcracks of Ultra-High- Performance Fiber Reinforced Cementitious Composite Open
This research presents an intelligent photo interpretation approach to automatically monitor and characterize dense interconnected microcracks in ultra-high- performance fiber reinforced cementitious composite (UHPFRCC) featuring unique cr…
View article: Valorization of Vetiver Root Biochar in Eco-Friendly Reinforced Concrete: Mechanical, Economic, and Environmental Performance
Valorization of Vetiver Root Biochar in Eco-Friendly Reinforced Concrete: Mechanical, Economic, and Environmental Performance Open
Biochar has shown great promise in producing low-cost low-carbon concrete for civil infrastructure applications. However, there is limited research comparing the use of pristine and contaminated biochar in concrete. This paper presents com…
View article: Editorial: “Functional pavement and advanced material testing technology”
Editorial: “Functional pavement and advanced material testing technology” Open
EDITORIAL article Front. Mater., 09 January 2023Sec. Structural Materials Volume 9 - 2022 | https://doi.org/10.3389/fmats.2022.1117075
View article: Metaheuristic Inverse Analysis on Interfacial Mechanics of Distributed Fiber Optic Sensors Undergoing Interfacial Debonding
Metaheuristic Inverse Analysis on Interfacial Mechanics of Distributed Fiber Optic Sensors Undergoing Interfacial Debonding Open
View article: AI-assisted Design, 3d Printing, and Evaluation of Architecture Polymer-concrete Composites (APCC) With High Specific Flexural Strength and High Specific Toughness
AI-assisted Design, 3d Printing, and Evaluation of Architecture Polymer-concrete Composites (APCC) With High Specific Flexural Strength and High Specific Toughness Open
View article: Intelligent Characterization of Complex Cracks in Strain-Hardening Cementitious Composites Based on Generative Computer Vision
Intelligent Characterization of Complex Cracks in Strain-Hardening Cementitious Composites Based on Generative Computer Vision Open
View article: Arsenate removal using titanium dioxide-doped cementitious composites: Mixture design, mechanisms, and simulated sewer application
Arsenate removal using titanium dioxide-doped cementitious composites: Mixture design, mechanisms, and simulated sewer application Open
View article: Editorial: Non-BF slag-based green cementitious materials
Editorial: Non-BF slag-based green cementitious materials Open
EDITORIAL article Front. Mater., 18 July 2022Sec. Structural Materials https://doi.org/10.3389/fmats.2022.978032
View article: Monitoring and automatic characterization of cracks in strain-hardening cementitious composite (SHCC) through intelligent interpretation of photos
Monitoring and automatic characterization of cracks in strain-hardening cementitious composite (SHCC) through intelligent interpretation of photos Open
This paper presents an intelligent photo interpretation approach to automatically monitor and characterize dense interconnected microcracks in strain-hardening cementitious composite (SHCC) featuring unique crack patterns in terms of crack…
View article: Identification and classification of exfoliated graphene flakes from microscopy images using a hierarchical deep convolutional neural network
Identification and classification of exfoliated graphene flakes from microscopy images using a hierarchical deep convolutional neural network Open
Identification of the mechanically exfoliated graphene flakes and classification of the thickness is important in the nanomanufacturing of next-generation materials and devices that overcome the bottleneck of Moore's Law. Currently, identi…
View article: Self-updateable AI predictor for compressive strength of ultra-high-performance concrete (UHPC) based on automatic information extraction
Self-updateable AI predictor for compressive strength of ultra-high-performance concrete (UHPC) based on automatic information extraction Open
View article: Utilization of Off-Specification Fly Ash in Preparing Strain-Hardening Cementitious Composites (Shcc): Key Properties and Environmental Impact
Utilization of Off-Specification Fly Ash in Preparing Strain-Hardening Cementitious Composites (Shcc): Key Properties and Environmental Impact Open
View article: Deep Learning from Physicochemical Information of Concrete with an Artificial Language for Property Prediction and Reaction Discovery
Deep Learning from Physicochemical Information of Concrete with an Artificial Language for Property Prediction and Reaction Discovery Open
View article: Upcycling of waste concrete in eco-friendly strain-hardening cementitious composites: Mixture design, structural performance, and life-cycle assessment
Upcycling of waste concrete in eco-friendly strain-hardening cementitious composites: Mixture design, structural performance, and life-cycle assessment Open
To upcycle waste concrete through producing strain-hardening cementitious composites (SHCC) for sustainable and resilient structures, this research investigates the effect of fine recycled concrete powder on the fresh and hardened properti…
View article: Predicting Mechanical Properties of High-Performance Fiber-Reinforced Cementitious Composites by Integrating Micromechanics and Machine Learning
Predicting Mechanical Properties of High-Performance Fiber-Reinforced Cementitious Composites by Integrating Micromechanics and Machine Learning Open
Current development of high-performance fiber-reinforced cementitious composites (HPFRCC) mainly relies on intensive experiments. The main purpose of this study is to develop a machine learning method for effective and efficient discovery …
View article: Development of Stay-in-Place Formwork Using GFRP Reinforced UHPC Elements
Development of Stay-in-Place Formwork Using GFRP Reinforced UHPC Elements Open
In this study, stay-in-place (SIP) formwork for structural elements subjected to aggressive environment, such as bridge columns and columns in parking structures subjected to deicing salt are developed by using prefabricated ultra-high per…