Zobrazeno 1 - 10
of 235
pro vyhledávání: '"CHRISTOS GEORGAKIS"'
Publikováno v:
Applied Sciences, Vol 12, Iss 1, p 481 (2022)
During the operation period, the deformation of an ultra-high arch dam is affected by the large fluctuation of the reservoir water level. Under the dual coupling of the ultra-high dam and the complex water level conditions, the traditional variationa
Externí odkaz:
https://doaj.org/article/f8681bd6d7c14b2a8761c86ac8355d73
Publikováno v:
Shock and Vibration, Vol 2019 (2019)
Load identification, or input identification as the more general term, is a field of study that requires a wide set of disciplines, which suffers from uncertainties caused by the challenges within each discipline. When making load identification, sev
Externí odkaz:
https://doaj.org/article/7aab0531f4c64e62a8daa9d8f082afc1
Publikováno v:
Industrial & Engineering Chemistry Research. 62:2225-2239
Publikováno v:
Industrial & Engineering Chemistry Research.
Publikováno v:
Frontiers of Chemical Science and Engineering. 16:221-236
To study the dynamic behavior of a process, time-resolved data are collected at different time instants during each of a series of experiments, which are usually designed with the design of experiments or the design of dynamic experiments methodologi
Autor:
Claire S. Adjiman, Bhavik R. Bakshi, Christos T. Maravelias, Dionisios G. Vlachos, Nikolaos V. Sahinidis, Christos Georgakis
Publikováno v:
Industrial & Engineering Chemistry Research. 60:5194-5206
This paper aims to provide an overview of the current state of the art in molecule and material design and a perspective on open questions. First, we discuss the interplay between process design and the design of molecules and materials and then pres
Publikováno v:
IFAC-PapersOnLine. 54:1-6
Our group recently defined two novel data-driven modeling methodologies: The Design of Dynamic Experiments (DoDE) and the Dynamic Response Surface Methodology (DRSM). These two methods enable the quick and efficient data-driven modeling of processes
Autor:
Christos Georgakis, Leo H. Chiang, Zhenyu Wang, John M. Wassick, Swee-Teng Chin, Philippe Hayot, Ivan Castillo
Publikováno v:
Industrial & Engineering Chemistry Research. 59:14868-14880
The optimization of batch processes usually relies on the availability of a detailed knowledge-driven model. However, because of the great varieties of industrial batch processes and their small pr...