Building construction methods and systems : principles, requirements and application details

Building construction methods and systems : principles, requirements and application details

المؤلف
Ramazan Sarı & Ekrem Bahadır Calıskan
سنة النشر
الناشر
لغة الملف
نوع الوثيقة
الموضوع الرئيسي / الكلية
رمز الوثيقة

Presents practical information about the design and construction of building projects by addressing the principles of each method, unveiling background factors for requirements, and state-of-the-art application details, and presents general design and application principles of construction methods and technologies without diving into engineering calculations and formulas to keep the content easily understandable by all AEC practitioners and participants.



كتب مشابهة

img

Materials & sustainability building a circular future

Examines sustainable manufacturing, from the extraction of materials to processing, use, and disposal, and argues that significant changes in all of the above are needed for the world to progress toward a more circular economy. Materials and processing methods are usually chosen with performance as the key metric.

img

Composite materials : sustainable and eco-friendly materials and application

Covers innovations in the field of composite materials with a specific focus on eco-friendly and environmentally sustainable systems. All composite fields are explored, including polymer, metal, and ceramic matrix composites with an emphasis on sourcing raw materials in a sustainable way as well as the development of composite materials for environmental sustainability.

img

Material Modeling in Finite Element Analysis

Presents some specific problems including the metal-forming process, combustion room, Mullins effect of rubber tires, viscoelasticity of liver soft tissues, small punch test, tunnel excavation, slope stability, concrete slump test, orthodontic wire, and piezoelectric microaccelerometer.

img

Machine learning for civil and environmental engineers : A practical approach to data-driven analysis, explainability, and causality

Introduces engineers and engineering students to the applications of artificial intelligence (AI), machine learning (ML), and machine intelligence (MI) in relation to civil and environmental engineering projects and problems, presenting state-of-the-art methodologies and techniques to develop and implement algorithms in the engineering domain.