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Overview
The Civil Engineering profession possess a crucial emphasis on construction science and what methods are necessary to make civilization possible. Similar to the other engineering fields, scientific research is always being conducted by many testing and research engineers within the Civil Engineering practice. Some of the projects that involve experimentation may be administered by Governmental institutions who must abide by federal regulations, from major Universities nationwide which participate in international research as part of graduate school curriculum, or even local firms who plan and assess hypothetical or practical aspects of Civil Engineering. Current day research involves developing a process or algorithm that may further advance an existing concept which many firms already carry out and execute.
Source: https://commons.wikimedia.org/wiki/File:GoldenGateBridge-001.jpg
Design Construction Integration
Conducted by the University Of Stanford. Teams that consist of professors and graduate students operate together in an attempt to accomplish innovative structural processes in the practice of integration. Current areas of research include:
Application of new sensing technologies based on micro electro-mechanical systems bonded with wireless communication algorithms and more efficient microprocessors to supervise construction operations in real time
Development of new efficient structural systems that result in structures with increased performance and more facile to construct, operate, and maintain high quality
Engineering for Civil Infrastructure (ECI) Program
This program exists within the National Science Foundation agency. As stated on their research’s synopsis, the Engineering for Civil Infrastructure program supports “fundamental research in infrastructure material and architectural, geotechnical and structural engineering that can shape the future of the nation’s civil infrastructure” (betansf.gov). Current areas of research include:
Research at the intersection of civil infrastructure with data science and analytics.
Analysis on uncertainty quantification, risks, and reliability.
Artificial Intelligence and Machine Learning with Biomimetics, Bioinspiration, and Metamaterial Concepts
Multifunctionality Integration (architectural, mechanical, thermal and others), and/or physics-based, multiscale, predictive modeling and simulation.
Source: https://www.flickr.com/photos/volvob12b/8068200135
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