Rodrigo Polo-Mendoza

Charles University

H指数:12

被引数:732

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Sustainable Self-Compacting Concrete Incorporating Metakaolin and Recycled Concrete Aggregate: Mixture Design, Mechanical Performance, and Environmental Assessment

可持续自密实混凝土掺合偏高岭土和再生混凝土骨料：配合比设计、力学性能及环境评估

Materials Today Communications

IF4.5

2026-10-080

OAAI

TSI-AsphaLab: an Open-source Software for Calibrating and Simulating the Thermo-Stiffness Integration (TSI) Model

TSI-AsphaLab：用于校准和模拟热刚度集成（TSI）模型的开放源代码软件

International Journal of Pavement Research and Technology

IF2.5

2026-10-050

OAAI

Compressive strength and environmental assessment of UHPC matrices incorporating electric arc furnace slag and off specification fly ash

UHPC基体中掺入电弧炉渣和规格外粉煤灰的压缩强度及环境评估

Scientific Reports

IF3.9

2026-09-070

Resolving contradictory mechanical performance of untreated tire rubberized concrete: A mechanism-based review

解析未处理轮胎橡胶化混凝土的矛盾力学性能：一项基于机制的综述

Journal of Materials Research and Technology-JMR&T

IF6.6

2026-08-290

OAAI

Workability-strength optimization and environmental impact assessment of sustainable ultra-high-performance concrete incorporating secondary raw materials

工作性能-强度优化及掺用二次原材料的环境影响评估的可持续超高性能混凝土

Materials Today Communications

IF4.5

2026-08-011

OAAI

Performance Assessment of Hot-Mix Asphalt Modified with Metakaolin as a Partial Filler Replacement: Experimental Testing and Computational Modelling

以偏高岭土部分替代填料的热拌沥青混合料的性能评估：实验测试与计算建模

International Journal of Pavement Research and Technology

IF2.5

2026-06-300

PRE

Pavement Acoustics and Open-Graded Asphalt Mixtures: Mechanisms, Performance, and Challenges

路面声学与开级配沥青混合料：机理、性能与挑战

International Journal of Pavement Research and Technology

IF2.5

2026-05-250

PRE

Effect of Natural Alfa Fibers on Cementitious Composites: Characterization, Optimization, and Performance Evaluation

天然阿法纤维对水泥基复合材料的影响：表征、优化及性能评价

Journal of Materials Research and Technology

IF6.6

2026-05-060

OAAI

A Novel Master Curve Formulation with Explicitly Incorporated Temperature Dependence for Asphalt Mixtures: A Model Proposal with a Case Study

一种具有显式纳入温度依赖性的沥青混合料新主曲线公式：基于案例研究的模型提案

Infrastructures

IF2.9

2026-03-030

OAAI

Valorization of Fine Recycled Concrete Aggregate By-Products from Construction Waste as a Sustainable Material for Granular Subbases: Mechanical and Environmental Assessments

将来自建筑垃圾的优质再生混凝土骨料副产品作为可持续材料用于级配底基层：力学与环境评估

APPLIED SCIENCES-BASEL

IF2.5

2025-10-180

OAAI

Integrating Life-Cycle Assessment (LCA) and Artificial Neural Networks (ANNs) for Optimizing the Inclusion of Supplementary Cementitious Materials (SCMs) in Eco-Friendly Cementitious Composites: A Literature Review

整合生命周期评估（LCA）和人工神经网络（ANNs）以优化辅助胶凝材料（SCMs）在环保水泥基复合材料中的应用：一项文献综述

Materials 2025, Vol. 18, Page 4307

IF3.2

2025-09-300

OAAI

Uncontrolled-burnt rice husk ash as a mineral admixture for sustainable concretes on transport infrastructure applications

无控制燃烧稻壳灰作为可持续混凝土（应用于交通基础设施）的矿物掺合料

Construction and Building Materials

IF8

2025-09-180

PRE

Integrating the Grading Entropy Theory (GET) into a Physics-Informed Neural Network (PINN) to predict soil hydraulic properties

将Grading Entropy Theory (GET)整合到Physics-Informed Neural Network (PINN)中，以预测土壤水力特性

Results in Engineering

IF7.9

2025-07-070

PRE

Development of Mathematical and Computational Models for Predicting Agricultural Soil-Water Management Properties (ASWMPs) to Optimize Intelligent Irrigation Systems and Enhance Crop Resilience

AGRONOMY-BASEL

IF3.4

2025-04-120

Designing Climate Change (CC)-resilient asphalt pavement structures: A comprehensive literature review on adaptation measures and advanced soil constitutive models

RESULTS IN ENGINEERING

IF7.9

2024-12-011

OAAI

Influence of Three Different Antistripping Agents on Moisture Susceptibility, Stiffness, and Rutting Resistance of Hot-Mix Asphalt

BUILDINGS

IF3.1

2024-08-081

Prediction of California bearing ratio and modified proctor parameters using deep neural networks and multiple linear regression: A case study of granular soils

CASE STUDIES IN CONSTRUCTION MATERIALS

IF6.6

2024-07-013

OAAI

Development of a Machine Learning (ML)-Based Computational Model to Estimate the Engineering Properties of Portland Cement Concrete (PCC)

基于机器学习(ML)的计算模型开发，用于估计波特兰水泥混凝土(PCC)的工程特性

Arabian Journal for Science and Engineering

IF2.9

2024-05-030

OAAI

Recycled Concrete Aggregates (RCA)-based asphalt mixtures: A performance-related evaluation with sustainability-criteria verification

CONSTRUCTION AND BUILDING MATERIALS

IF8

2023-11-017

PRE

Implementation of deep neural networks and statistical methods to predict the resilient modulus of soils

INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING

IF3.3

2023-09-205

PRE

Rodrigo Polo-Mendoza

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