The Experts below are selected from a list of 171 Experts worldwide ranked by ideXlab platform
Lazaros G. Papageorgiou - One of the best experts on this subject based on the ideXlab platform.
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Process plant layout using an improvement-type algorithm
Chemical Engineering Research & Design, 2009Co-Authors: Lazaros G. PapageorgiouAbstract:This paper presents an efficient solution approach for large-scale, single-floor process plant layout problems based on mixed integer optimisation. The final plant layouts (i.e. coordinates and dimensions for each Equipment Item) are determined from an initial feasible solution followed by an iterative improvement procedure. The applicability of the solution algorithm is demonstrated through a number of illustrative examples. The computational results indicate that the proposed approach successfully achieves good quality solutions for examples with up to 36 facilities with modest computational requirements.
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Safe Process Plant Layout using Mathematical Programming
Computer-aided chemical engineering, 2007Co-Authors: Dimitrios I. Patsiatzis, Lazaros G. PapageorgiouAbstract:This paper presents a general mathematical programming formulation, considering simultaneously process plant layout and safety. The proposed model determines the detailed process plant layout (coordinates and orientation of each Equipment Item), the number and type of protection devices in order to reduce possible accidents and the financial risk. The problem is formulated as a mixed integer non-linear programming (MINLP) model and its applicability is demonstrated by a literature example.
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An MILP Approach to Safe Process Plant Layout
Chemical Engineering Research & Design, 2004Co-Authors: Dimitrios I. Patsiatzis, G. Knight, Lazaros G. PapageorgiouAbstract:This paper presents a general mathematical programming formulation considering simultaneously process plant layout and safety. The proposed model determines the detailed process plant layout (coordinates and orientation of each Equipment Item), the number and type of protection devices in order to reduce possible accidents and the financial risk utilizing the Dow Fire and Explosion Index system. The overall problem is formulated as a mixed integer linear programming (MILP) model and its applicability is demonstrated by an illustrative example.
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Efficient solution approaches for the multifloor process plant layout problem
Industrial & Engineering Chemistry Research, 2003Co-Authors: Dimitrios I. Patsiatzis, Lazaros G. PapageorgiouAbstract:In this paper, two novel efficient solution approaches for the multifloor process plant layout problem are presented. The first one is a rigorous decomposition approach, and the second one is based on an iterative solution scheme. Both approaches, which are based on integer linear programming models, determine the number of floors, land area, floor allocation of each Equipment Item, and detailed layout for each floor. Their applicability is finally demonstrated by five illustrative examples.
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Optimal multi-floor process plant layout
Computers & Chemical Engineering, 2002Co-Authors: Dimitrios I. Patsiatzis, Lazaros G. PapageorgiouAbstract:Abstract This paper presents a general mathematical programming formulation for the multi-floor process plant layout problem, which considers a number of cost and management/engineering drivers within the same framework thus resolving various trade-offs at an optimal manner. The proposed model determines simultaneously the number of floors, land area, floor allocation of each Equipment Item and detailed layout for each floor. The overall problem is formulated as a mixed integer linear programming (MILP) model based on a continuous domain representation. The applicability of the model is demonstrated by three illustrative examples.
Dimitrios I. Patsiatzis - One of the best experts on this subject based on the ideXlab platform.
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Safe Process Plant Layout using Mathematical Programming
Computer-aided chemical engineering, 2007Co-Authors: Dimitrios I. Patsiatzis, Lazaros G. PapageorgiouAbstract:This paper presents a general mathematical programming formulation, considering simultaneously process plant layout and safety. The proposed model determines the detailed process plant layout (coordinates and orientation of each Equipment Item), the number and type of protection devices in order to reduce possible accidents and the financial risk. The problem is formulated as a mixed integer non-linear programming (MINLP) model and its applicability is demonstrated by a literature example.
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An MILP Approach to Safe Process Plant Layout
Chemical Engineering Research & Design, 2004Co-Authors: Dimitrios I. Patsiatzis, G. Knight, Lazaros G. PapageorgiouAbstract:This paper presents a general mathematical programming formulation considering simultaneously process plant layout and safety. The proposed model determines the detailed process plant layout (coordinates and orientation of each Equipment Item), the number and type of protection devices in order to reduce possible accidents and the financial risk utilizing the Dow Fire and Explosion Index system. The overall problem is formulated as a mixed integer linear programming (MILP) model and its applicability is demonstrated by an illustrative example.
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Efficient solution approaches for the multifloor process plant layout problem
Industrial & Engineering Chemistry Research, 2003Co-Authors: Dimitrios I. Patsiatzis, Lazaros G. PapageorgiouAbstract:In this paper, two novel efficient solution approaches for the multifloor process plant layout problem are presented. The first one is a rigorous decomposition approach, and the second one is based on an iterative solution scheme. Both approaches, which are based on integer linear programming models, determine the number of floors, land area, floor allocation of each Equipment Item, and detailed layout for each floor. Their applicability is finally demonstrated by five illustrative examples.
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Optimal multi-floor process plant layout
Computers & Chemical Engineering, 2002Co-Authors: Dimitrios I. Patsiatzis, Lazaros G. PapageorgiouAbstract:Abstract This paper presents a general mathematical programming formulation for the multi-floor process plant layout problem, which considers a number of cost and management/engineering drivers within the same framework thus resolving various trade-offs at an optimal manner. The proposed model determines simultaneously the number of floors, land area, floor allocation of each Equipment Item and detailed layout for each floor. The overall problem is formulated as a mixed integer linear programming (MILP) model based on a continuous domain representation. The applicability of the model is demonstrated by three illustrative examples.
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optimal multi floor process plant layout
Computer-aided chemical engineering, 2001Co-Authors: Dimitrios I. Patsiatzis, Lazaros G. PapageorgiouAbstract:Publisher Summary This chapter presents a general mathematical programming formulation for the multifloor process plant layout problem, which considers a number of cost and management/engineering drivers within the same framework, thus resolving various tradeoffs at an optimal manner. The proposed model determines simultaneously the number of floors, land area, floor allocation of each Equipment Item, and detailed layout of each floor. The overall problem is formulated as a mixed-integer linear programming (MILP) model based on a continuous domain representation. The applicability of the model is then demonstrated by an illustrative example. Continuous domain MILP mathematical models were presented in determining simultaneously the orientation and allocation of Equipment Items. An alternative continuous MILP formulation was also suggested for Equipment allocation, utilizing a piecewise-linear function representation for absolute value functional. The assignment of Equipment Items to different floors has been considered by satisfying a number of Equipment arrangement preferences and also taking into account vertical pumping and land costs. The partitioning of units in different floors is studied by combining a graph theory approach and a mathematical programming solution procedure. Grid-based MILP mathematical models are described, considering the Equipment of different sizes and geometries, based on rectangular shapes.
Convair - One of the best experts on this subject based on the ideXlab platform.
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Life sciences payload definition and integration study, task C and D. Volume 4: Preliminary Equipment Item specification catalog
2013Co-Authors: Nasa, ConvairAbstract:A specification catalog to define the Equipment to be used for conducting life sciences experiments in a space laboratory is presented. The specification sheets list the purpose of the Equipment Item, and any specific technical requirements which can be identified. The status of similar hardware for ground use is stated with comments regarding modifications required to achieve spaceflight qualified hardware. Pertinent sketches, commercial catalog sheets, or drawings of the applicable Equipment are included.
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Life sciences payload definition and integration study. Volume 3: Appendices
2013Co-Authors: Nasa, ConvairAbstract:Detail design information concerning payloads for biomedical research projects conducted during space missions is presented. Subjects discussed are: (1) Equipment modules and Equipment Item lists, (2) weight and volume breakdown by payload and Equipment units, (3) longitudinal floor arrangement configuration, and (4) nonbaseline second generation layouts.
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Life sciences payload definition and integration study. Volume 3: Preliminary Equipment Item specification catalog for the carry-on laboratories
2013Co-Authors: Nasa, ConvairAbstract:All general purpose Equipment Items contained in the final carry-on laboratory (COL) design concepts are described in terms of specific requirements identified for COL use, hardware status, and technical parameters such as weight, volume, power, range, and precision. Estimated costs for each Item are given, along with projected development times.
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Definition of Life Sciences laboratories for shuttle/Spacelab. Volume 5: Life Sciences laboratory system requirements data book. Book 3: Prelimary Equipment Item specification catalog
2013Co-Authors: Nasa, ConvairAbstract:Working data on the Equipment Items within the Life Sciences Laboratory Common Equipment Inventory are presented. For Vol. 1, see N76-15765.
Nasa - One of the best experts on this subject based on the ideXlab platform.
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Life sciences payload definition and integration study, task C and D. Volume 4: Preliminary Equipment Item specification catalog
2013Co-Authors: Nasa, ConvairAbstract:A specification catalog to define the Equipment to be used for conducting life sciences experiments in a space laboratory is presented. The specification sheets list the purpose of the Equipment Item, and any specific technical requirements which can be identified. The status of similar hardware for ground use is stated with comments regarding modifications required to achieve spaceflight qualified hardware. Pertinent sketches, commercial catalog sheets, or drawings of the applicable Equipment are included.
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Analysis of commercial Equipment and instrumentation for Spacelab payloads. Volume 3: Design analysis and trade studies
2013Co-Authors: NasaAbstract:A detailed analysis is presented of each selected Equipment Item, and suitability and cost analyses were documented by Equipment Item. Tradeoffs of alternative specification requirements are presented which include possible relaxation of vibration, material control, fungus and corrosion requirements for experiment Equipment. An additional tradeoff was performed to determine whether it is cost effective to modify experiment Equipment to be compatible with a 28-volt dc power source rather than the conventional 110-volt ac source. Programmatic analysis data are given which were used as the basis for the extension of results from the analyses of specific Equipment Items to the entire spacelab experiment program.
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Life sciences payload definition and integration study. Volume 3: Appendices
2013Co-Authors: Nasa, ConvairAbstract:Detail design information concerning payloads for biomedical research projects conducted during space missions is presented. Subjects discussed are: (1) Equipment modules and Equipment Item lists, (2) weight and volume breakdown by payload and Equipment units, (3) longitudinal floor arrangement configuration, and (4) nonbaseline second generation layouts.
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Life sciences payload definition and integration study. Volume 3: Preliminary Equipment Item specification catalog for the carry-on laboratories
2013Co-Authors: Nasa, ConvairAbstract:All general purpose Equipment Items contained in the final carry-on laboratory (COL) design concepts are described in terms of specific requirements identified for COL use, hardware status, and technical parameters such as weight, volume, power, range, and precision. Estimated costs for each Item are given, along with projected development times.
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Definition of Life Sciences laboratories for shuttle/Spacelab. Volume 5: Life Sciences laboratory system requirements data book. Book 3: Prelimary Equipment Item specification catalog
2013Co-Authors: Nasa, ConvairAbstract:Working data on the Equipment Items within the Life Sciences Laboratory Common Equipment Inventory are presented. For Vol. 1, see N76-15765.
K‐j. Hong - One of the best experts on this subject based on the ideXlab platform.
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Seismic interaction in linearly connected electrical substation Equipment
Earthquake Engineering & Structural Dynamics, 2001Co-Authors: Armen Der Kiureghian, Jerome L Sackman, K‐j. HongAbstract:An electrical substation consists of a complex set of Equipment Items that are interconnected through conductor buses or cables. If the connections are not sufficiently flexible, significant dynamic interaction may occur between the connected Equipment Items during a seismic excitation. This interaction is believed to be responsible for some of the observed substation Equipment damage in recent earthquakes. This paper investigates the interaction between two Equipment Items connected by a linear spring-dashpot or spring-dashpot-mass element representing a conductor bus. It is found that the interaction between the two Equipment Items may significantly amplify the response of the higher-frequency Equipment Item. The influences of various key parameters on the interaction effect are quantified. Means for reducing the adverse interaction effect are described. Copyright © 2001 John Wiley & Sons, Ltd.