- ホーム
- > 洋書
- > ドイツ書
- > Mathematics, Sciences & Technology
- > Technology
- > mechanical engineering & production engineering
Full Description
This book provides an in-depth exploration of the most recent developments in sustainable engineering, emphasizing cutting-edge materials, techniques, and technologies that have paved the way to a more sustainable future. It provides readers with an extensive understanding of resource-efficient strategies, advanced green technologies, and environmentally friendly construction practices that are transforming the engineering field. It covers significant aspects of sustainable engineering, including innovative substances like cement composites, recycled aggregates, and geopolymer concrete. It highlights developments in biomaterials and composite materials that are influencing the future of construction, as well as smart and nanomaterials.
The book effectively connects theoretical understanding with real-world applications, making it a valuable resource for professionals in civil engineering, researchers, scholars, and students with a strong interest in sustainable engineering and construction to address the significant environmental challenges.
Contents
A Sustainable Solution for the Construction Industry Using Industrial Waste Materials.- Influence of Polyurethane Foam Density and Slenderness Ratio on the Axial Compression Behaviour of Foam-Filled Tubes: Experimental and Numerical Analysis Using ANSYS and ABAQUS.- A Hybrid CNN-Transformer Framework for Robust Facial Emotion Recognition: Optimized Dataset Selection and Pre-Processing Strategies. Sustainable Repair of Fire-Damaged Concrete Using Geopolymer Mortars with Recycled Aggregates: Mechanical and Environmental Evaluation.- A Scalable Deep Learning and Explainable AI Framework for Dual Diagnosis of ADHD and Diabetes Using Multi-Source Health Data.- A Privacy-Preserving, Stability-Aware GAN-LSTM Framework for Multi Objective Financial Time Series Forecasting.- Evaluating the Impact of Mixing Time on Cement Concrete Compressive Strength Using Machine Learning. Integrating BIM with Artificial Intelligence for Predictive Construction Project Management.- Evaluation of Object Detection Algorithms to Detect the Solar Cell Surface Defects.- Prediction of Compressive Strength of Concrete Using Variable Selection Method - A Systematic Approach.- Evaluation of Mechanical Properties of Asphalt Concrete Incorporating Single-Use Plastic Wastes and Waste Paper Pulp Oil.- Sustainable Concrete Drain Covers with Fly Ash and Recycled Aggregate.- Experimental and Analytical Studies on Pultruded GFRP Flexural Members.- A Comprehensive Study on the Brick Manufacturing: Utilization and Performance Approach.-Enhancement of mechanical properties of concrete through alccofine supplementation and fibre reinforcements.



