The chapter begins with a basic definition of composites and their matrix and fiber components and then introduces the classifications and engineering applications of composites.
The site effect and soil engineering problems for estimating hazard parameters at the soil surface need to be carefully analyzed for seismic site classification and geo-engineering problems like soil liquefaction, soil settlement, soil bearing capacity and soil amplification.
I recommend that the approaches of the various disciplines be integrated geomorphologists and geologists should consider using engineering weathering classifications, and geologists should adopt a spatial perspective to weathering, as should engineers and engineering geologists.
This represents a major simplification of the process of classification and subsequent utilization of engineering mechanisms.
These apparent changes in joint properties could lead to incorrect rock mass classification and thus, to inappropriate engineering design and costly errors during construction.
A method for fusing data-models with expert information in the form of both certain and uncertain knowledge is proposed and applied to test problems from the fields of data classification and reliability analysis of engineering systems.
Soft computing applications for knitted fabric defect identification in static and dynamic conditions, fabric classification, fabric engineering, knitting machine control and optimization are discussed.
To facilitate future efforts in protein structure classification, engineering, and design, we provide the resulting patterns and their frequency of occurrence in proteins at: http://prodata.swmed.edu/ssps/.edu/ssps/
We review existing proposals for the classification, engineering, and manipulation of nonclassical states, including Fock states, macroscopic superposition states, and multiphoton generalized coherent states.
With the results of the behavior classification and simulation, a bottom-up engineering model reveals that the proposed behavior model offers a more accurate and reliable prediction than the ASHRAE standard schedule.
