Open Access. Powered by Scholars. Published by Universities.®
- Discipline
- Institution
- Publication Year
- Publication
- Publication Type
Articles 1 - 25 of 25
Full-Text Articles in Engineering
Design Of Composite Joints Using Machine Learning Approaches, Natalie Richards
Design Of Composite Joints Using Machine Learning Approaches, Natalie Richards
Williams Honors College, Honors Research Projects
Adhesively bonded joints have an advantage in joining dissimilar engineering materials due to their high structural efficiency and being lightweight. These joints are either between two opposite laminates or between a composite laminate and a metal structure. The aerospace and automotive industries have seen an increase in utilizing these adhesive joints in their engineering applications. Joint strength along with the failure mode (adhesive, delamination, etc.) is the most important parameter to evaluate when understanding the capability of the adhesive joint. In this paper, a regression and a classification machine learning (ML) model are utilized to predict the failure load and …
Optimizing Internships In Construction Management Based On Student's Interests And Experience, Austin Meneses Logan
Optimizing Internships In Construction Management Based On Student's Interests And Experience, Austin Meneses Logan
Construction Management
The growing norm for students in the field of Construction Management is to have at least one internship under their belt prior to entering the industry for a full-time career. The goal of this research paper is to analyze student feedback from their previous internships to draw conclusions on how companies should structure their internship programs based on student interests and level of experience. Research was done evaluating current Construction Management students with previous internship experience at California Polytechnic State University San Luis Obispo. This research paper will be beneficial for industry companies to better tailor their internship programs to …
Optimal Range Of Loading For Operating A Fixed-Speed Wind Turbine Using A Self-Excited Induction Generator, Nassi̇m Iqteit, Gül Kurt, Beki̇r Çakir
Optimal Range Of Loading For Operating A Fixed-Speed Wind Turbine Using A Self-Excited Induction Generator, Nassi̇m Iqteit, Gül Kurt, Beki̇r Çakir
Turkish Journal of Electrical Engineering and Computer Sciences
In the present study, a new strategy of analysis was used to determine the optimal interval of a single-phase resistive load to operate a fixed-speed wind turbine. The essence of this optimal range is to enable the generator to have stable voltages and current balances, large power, and an acceptable frequency range, and also mitigate generator overheating. The generator windings and excitation capacitances were prepared according to the C-2C connection scheme with suitable values of excitation capacitances. The admittance matrix of the system was based on positive and negative sequence generator voltages and was calculated by symmetrical components theory. The …
Optimizing The Removal Of Stormwater Pollutants In Small-Scale, Constructed Treatment Wetlands, Isabella Evans
Optimizing The Removal Of Stormwater Pollutants In Small-Scale, Constructed Treatment Wetlands, Isabella Evans
Rose-Hulman Undergraduate Research Publications
Natural wetlands use plants to absorb and break down harmful pathogens and water pollutants. This process improves water quality in a natural and efficient way. By mimicking natural wetlands with constructed wetlands, we are able to perform the same functions. We used the two small-scale treatment wetlands in the Cook Laboratory for Bioscience Research to perform experiments to optimize the removal of stormwater pollutants. These two treatment wetlands consist of three connected basins each with the goal of removing harmful pollutants in each basin. These stormwater pollutants include total suspended solids, biochemical oxygen demand (organic carbon), and nitrate. Past studies …
Gscheduler: Optimizing Resource Provision By Using Gpu Usage Pattern Extraction In Cloud Environment, Zhuqing Xu, Fang Dong, Jiahui Jin, Junzhou Luo, Jun Shen
Gscheduler: Optimizing Resource Provision By Using Gpu Usage Pattern Extraction In Cloud Environment, Zhuqing Xu, Fang Dong, Jiahui Jin, Junzhou Luo, Jun Shen
Faculty of Engineering and Information Sciences - Papers: Part B
GPU-based clusters are widely chosen for accelerating a variety of scientific applications in high-end cloud environments. With their growing popularity, there is a necessity for improving the system throughput and decreasing the turnaround time for co-executing applications on the same GPU device. However, resource contention among multiple applications on a multi-tasked GPU leads to the performance degradation of applications. Previous works are not accurate enough to learn the characteristics of GPU application before execution, or cannot get such information timely, which may lead to misleading scheduling decisions. In this paper, we present GScheduler, a framework to detect and reduce interference …
Optimizing Wearable Assistive Devices With Neuromuscular Models And Optimal Control, Manish Sreenivasa, Matthew Millard, Paul Manns, Katja Mombaur
Optimizing Wearable Assistive Devices With Neuromuscular Models And Optimal Control, Manish Sreenivasa, Matthew Millard, Paul Manns, Katja Mombaur
Faculty of Engineering and Information Sciences - Papers: Part B
The coupling of human movement dynamics with the function and design of wearable assistive devices is vital to better understand the interaction between the two. Advanced neuromuscular models and optimal control formulations provide the possibility to study and improve this interaction. In addition, optimal control can also be used to generate predictive simulations that generate novel movements for the human model under varying optimization criterion.
Optimizing Distributed Generation Parameters Through Economic Feasibility Assessment, Kashem M. Muttaqi, An D. T Le, Jamshid Aghaei, Esmaeil Mahboubi-Moghaddam, Michael Negnevitsky, Gerard Ledwich
Optimizing Distributed Generation Parameters Through Economic Feasibility Assessment, Kashem M. Muttaqi, An D. T Le, Jamshid Aghaei, Esmaeil Mahboubi-Moghaddam, Michael Negnevitsky, Gerard Ledwich
Faculty of Engineering and Information Sciences - Papers: Part A
To meet the fast growth of electricity demand, the traditional network solution tends to expand existing substations, build more new substations, and build transmission lines. Distributed Generation (DG) is posed as an alternative method for the network providers not only to accommodate the load increase and relieve network overload, but also to offer other additional technical and economic benefits. This paper addresses the issue of DG planning and has proposed a technique for optimizing the DG size and location to minimize the overall investment and operational cost of the system. The proposed optimization methodology assesses the compatibility of different generation …
Superior Critical Current Density Obtained In Mg11b2 Low Activation Superconductor By Using Reactive Amorphous 11b And Optimizing Sintering Temperature, Fang Cheng, Yongchang Liu, Zongqing Ma, Huijun Li, Md Shahriar Hossain
Superior Critical Current Density Obtained In Mg11b2 Low Activation Superconductor By Using Reactive Amorphous 11b And Optimizing Sintering Temperature, Fang Cheng, Yongchang Liu, Zongqing Ma, Huijun Li, Md Shahriar Hossain
Australian Institute for Innovative Materials - Papers
The un-doped Mg11B2 and Cu-doped Mg11B2 bulks using 11B as a boron precursor were fabricated by solid-state reaction and sintered at different temperature in present work. By analyzing the sintering process, it was found that 11B original powder is more reactive and can react with Mg severely even at low temperature before Mg melting, which leads to the formation of refined Mg11B2 grains. Consequently, the critical current density of Mg11B2 sample prepared in this work is higher than that of natural MgB2. Furthermore, it was found that proper Cu addition …
Improvement In Structure And Superconductivity Of Bulk Fese0.5te0.5 Superconductors By Optimizing Sintering Temperature, Ning Chen, Yongchang Liu, Zongqing Ma, Liming Yu, Huijun Li
Improvement In Structure And Superconductivity Of Bulk Fese0.5te0.5 Superconductors By Optimizing Sintering Temperature, Ning Chen, Yongchang Liu, Zongqing Ma, Liming Yu, Huijun Li
Australian Institute for Innovative Materials - Papers
Sintering temperature plays a vital role in the evolution of phase structure and microstructure in polycrystalline FeSe0.5Te0.5 bulks fabricated by the two-step sintering method, and thus significantly influences their superconducting properties. Elevated sintering temperature (600-700°C) at second step facilitates the substitution of Te into the superconducting phase, which leads to the increased lattice distortion and thus contributes to the enhancement of superconductivity (the value of Tc reaches 15.6K). At the same time, the accelerated growth of the superconducting grains and the improved homogeneity motivated by elevated sintering temperature serve as the main reason for the sharp superconducting transition.
Optimizing Integrated Water Resources Management: Data, Tools, And Examples, Richard C. Peralta
Optimizing Integrated Water Resources Management: Data, Tools, And Examples, Richard C. Peralta
Civil and Environmental Engineering Faculty Publications
Best utilizing water resources requires coordinating their availability and use in time and space. Required can be: spatially and temporally distributed data; simulators to predict system response to stimuli; procedures for defining management goals, constraints, and scenarios; optimizers to compute optimal management strategies; and appropriate strategy implementation techniques. Here, a strategy is a set of controllable groundwater extraction and injection rates and surface water diversions. Simulation/optimization (S/O) models couple simulators and optimizers to compute optimal strategies for posed management problems. S/O models are becoming more commonly used for policy, planning, system design, and management. For example, water planners and managers …
Microfluidic Channels In Polymethyl-Methacrylate By Optimizing Aluminum Adhesion, George W. Woodruff Iii
Microfluidic Channels In Polymethyl-Methacrylate By Optimizing Aluminum Adhesion, George W. Woodruff Iii
Journal of the Microelectronic Engineering Conference
A study has been performed to determine the optimum surface treatment to adhere an aluminum hard mask to a polymethyl-methacrylate (PMMA) wafer substrate for the production of microfluidic channels. The initial process parameters of the PMMA reactive ion surface treatment included oxygen plasma, sulfur hexafluoride plasma and argon plasma designs of experiments. However, a soak in tetra methyl ammonium hydroxide (TMAH) proved to provide the most adhereable surface for an aluminum deposition. It is hypothesized that the TMAH soak allowed for the removal of the surface layer of the PMMA wafer substrate. The aluminum hard mask was deposited by evaporation …
Software For Optimizing International Water Resources Management, Richard C. Peralta, S. Wu
Software For Optimizing International Water Resources Management, Richard C. Peralta, S. Wu
Civil and Environmental Engineering Faculty Publications
The Simulation/Optimization MOdeling System (SOMOS) has modules adapted for a range of international water resource management needs. The SOMOA module is best for field groundwater and conjunctive water management situations. It employs several analytical simulation models and several optimization methods to give appropriate optimal guidance for situations having sparse data. SOMOA requires understanding of the limitations of common analytical equations. It does not require experience in finite difference or element numerical modeling. SOMOS also has modules ideal for situations in which there is sufficient data for numerical modeling or aquifer and stream-aquifer systems. Emphasized here are SOMOA and its applications …
Optimizing Conjunctive Water Use For Sustainable Production: Tools For The Management Spectrum, Richard C. Peralta, Shengjun J. Wu, H. J. Morel-Seytoux, Fernando Chanduvi
Optimizing Conjunctive Water Use For Sustainable Production: Tools For The Management Spectrum, Richard C. Peralta, Shengjun J. Wu, H. J. Morel-Seytoux, Fernando Chanduvi
Civil and Environmental Engineering Faculty Publications
Making best use of water resources requires coordinating use of groundwater and surface waters--conjunctive use. Conjunctive water management is important on the regional (watershed or aquifer), water district and field scales. Goals might differ for the different administrative levels. A regionally optimal water management strategy is not necessarily optimal for water district managers and individual farmers. Interactions between levels are affected by laws, regulations, traditions and public pressure. To help each organizational level develop water management strategies that best achieve its goals, computer simulation/optimization (S/O) models are useful. Such S/O models couple water flow and transport simulation techniques with formal …
Remax: Software For Optimizing Ground-Water Management, Conjunctive Water Management, And Remediation Design, Richard C. Peralta, Alaa H. Aly
Remax: Software For Optimizing Ground-Water Management, Conjunctive Water Management, And Remediation Design, Richard C. Peralta, Alaa H. Aly
Civil and Environmental Engineering Faculty Publications
REMAX is a software package designed to assist water managers in developing optimal ground water or coordinated ground water/surface water strategies for a wide range of management problems. REMAX uses MODFLOW, MT3D, and other simulation models to develop the response matrix or response surface equations employed in the final optimization model. To address nonlinear systems (e.g., unconfined aquifers) accurately, REMAX uses a modified response-matrix method. REMAX several nonlinear functions to represent a wide variety of nonlinear response surfaces. REMAX can be used for deterministic or reliability-based optimization problems. Decision variables are ground-water extraction/injection rates and/or surface water diversion rates. State …
Optimizing Conjunctive Use And Groundwater Yield, Richard C. Peralta, Rahman Rahimzadegen, Narendra K. Tyagi
Optimizing Conjunctive Use And Groundwater Yield, Richard C. Peralta, Rahman Rahimzadegen, Narendra K. Tyagi
Civil and Environmental Engineering Faculty Publications
Advances in computer power and mathematical optimization procedures can improve planning and developing sustainable irrigation systems. Simulation and optimization models can help plm1 groundwater and conjunctive use strategies to best achieve management goals while satisfying mm1agement a11d physical constraints. Simulation/optimization models that couple calibrated flow and transport simulation models with optimization algorithms can help design the best water management strategies. Mm1agers can be relatively sure that the groundwater system will respond acceptably when appropriate procedures are employed to develop the water management strategies. Presented case studies illustrate situations in which developed strategies simultaneously address conflicting management goals such as: maximizing …
Software For Optimizing Groundwater Or Conjunctive Water Management, Richard C. Peralta, Alaa H. Aly
Software For Optimizing Groundwater Or Conjunctive Water Management, Richard C. Peralta, Alaa H. Aly
Civil and Environmental Engineering Faculty Publications
US/REMAX is a computer program designed to assist water managers in developing optimal groundwater and/or surface water strategies for a wide range of management problems. It employs response matrix, regression and other methods adapted for nonlinear systems. US/REMAX performs deterministic or reliability-based, single- or multi-objective optimization. Decision variables are ground-water extraction/injection and/or surface water diversion. State variables include water flows, stages and concentrations. Hard coded objective functions and constraints are linear, nonlinear, integer or mixed integer. Special constraints can be added to address unusual situations.
Considering Ecological Constraints While Optimizing Sustained Groundwater Yield, Pahvant Valley, Utah, Getachew Belaineh, Richard C. Peralta
Considering Ecological Constraints While Optimizing Sustained Groundwater Yield, Pahvant Valley, Utah, Getachew Belaineh, Richard C. Peralta
Civil and Environmental Engineering Faculty Publications
Concern for groundwater quality and availability is increasing in Pahvant Valley. Ground-water levels are declining due to intense groundwater extraction for irrigation; water having high total dissolved solids concentration is flowing from the southwest toward the pumping sites; and discharge from natural springs in a wildlife refuge is declining. Transient simulation of aquifer response to 20 years of the 1985 pumping rates (beginning with 1985 groundwater level) predicted that spring discharge would decrease by as much as 87% from 1985 rates. Presented are preliminary pumping strategies that maximize sustainable, steady-state groundwater extraction without unacceptably reducing discharge from the springs. A …
Us/Remax (Vs 2.70): Software For Optimizing Management Of Stream/Aquifer Systems Using The Response Matrix And Related Methods, Richard C. Peralta, Alaa H. Aly
Us/Remax (Vs 2.70): Software For Optimizing Management Of Stream/Aquifer Systems Using The Response Matrix And Related Methods, Richard C. Peralta, Alaa H. Aly
Civil and Environmental Engineering Faculty Publications
US/REMAX is designed to assist water managers in developing optimal groundwater and/or surface water strategies for a wide range of management problems. US/REMAX uses the response matrix method, which assumes that physical system response to stimuli is linear. However, US/REMAX can also address nonlinear systems via cycling. In one application, a strategy computed using US/REMAX required 40% less pumping than one obtained via a normal simulation model. US/REMAX also easily computes tradeoffs for multiobjective problems.
Pc Software For Optimizing Groundwater Contaminant Plume Capture And Containment, Richard C. Peralta, Herminio H. Suguino, Alaa H. Aly
Pc Software For Optimizing Groundwater Contaminant Plume Capture And Containment, Richard C. Peralta, Herminio H. Suguino, Alaa H. Aly
Civil and Environmental Engineering Faculty Publications
Simulation/optimization (S/0) models can be used to speed the process of computing desirable groundwater pumping strategies for plume management. They make the process of computing optimal strategies fairly straightforward and can help minimize the labor and cost of groundwater contaminant cleanup.
Optimizing Conjunctive Water Use In A Dynamic Stream Aquifer System, Getachew Belaineh, Richard C. Peralta
Optimizing Conjunctive Water Use In A Dynamic Stream Aquifer System, Getachew Belaineh, Richard C. Peralta
Civil and Environmental Engineering Faculty Publications
Long-term water management planning models frequently use large time steps and must employ fairly crude assumptions (such as average climatic conditions, etc.). Managing stream aquifer systems during a dry season requires using finer discretization in time and space. Presented is a computer model, US/REMAX, developed by Utah State University personnel for aiding best management of stream-aquifer systems for both long and short eras. The model computes strategies for optimally allocating surface and ground water resources in time and space. For a water supply problem the model can maximize the sum of delivered surface and ground water. For an environmental protection …
Optimizing Irrigation Management For Pollution Control And Sustainable Crop Yield, G. R. Musharrafieh, Richard C. Peralta
Optimizing Irrigation Management For Pollution Control And Sustainable Crop Yield, G. R. Musharrafieh, Richard C. Peralta
Civil and Environmental Engineering Faculty Publications
We developed a simulation-optimization model which maximizes crop yield while maintaining target salt concentration in the root zone, and/ or preventing salt from leaching to the groundwater. The model performs nonlinear optimization and simulation. Implicit finite difference forms of the nonlinear, transient, unsaturated water flow equation, and the convection-diffusion equation are embedded as constraints. Other constraints include nonlinear functions describing the hydraulic properties of the medium. The objectives of the management model is to develop irrigation strategies which prevent salt leaching to the groundwater when salty irrigation water is used. Five different irrigation strategies are developed for Huntington Research Farm, …
Optimizing Perennial Groundwater Yield Planning For Nonlinear Systems: Approach Comparison, Shu Takahashi, Richard C. Peralta
Optimizing Perennial Groundwater Yield Planning For Nonlinear Systems: Approach Comparison, Shu Takahashi, Richard C. Peralta
Civil and Environmental Engineering Faculty Publications
Four alternative simulation/optimization models useful for computing optimal sustained-yield (steady-state) groundwater pumping strategies are compared in terms of formulation, solution procedure, accuracy, and computational efficiency. The different models require different computer processing time and memory. For the aquifer tested system, if more than 10% of the cells have pumping as a decision variable, a fully linearized embedding model will require less computer memory than any other model. All the models address linear and nonlinear steady-state flow in multilayer, unconfined/confined aquifers. They also address several types of nonsmooth external flows. Newly presented are a response matrix model solving external flows described …
Optimizing Ground Water Planning And Management, Richard C. Peralta, L. S. Willardson
Optimizing Ground Water Planning And Management, Richard C. Peralta, L. S. Willardson
Civil and Environmental Engineering Faculty Publications
Simulation/optimization (S/0) models can be used to speed the process of computing long term groundwater pumping strategies. These combined models can also greatly ease the planning tasks of water management agencies. They make the process of computing optimal perennial yield groundwater management strategies fairly straightforward. S/0 models dramatically improve conjunctive water management and can help minimize the cost of groundwater contaminant clean-up. The differences between S/0 models and the simulation (S) models currently used by over 98 % of practitioners are illustrated with recent applications of S/0 models in regional planning.
Use Of Simplex Algorithm For Optimizing Simulation Models, M. Ehteshami, L. S. Willardson, Richard C. Peralta
Use Of Simplex Algorithm For Optimizing Simulation Models, M. Ehteshami, L. S. Willardson, Richard C. Peralta
Civil and Environmental Engineering Faculty Publications
A methodology and computer model is developed to determine economically optimum closed subsurface drainage systems in irrigated areas. The mode 1 maximizes net benefits, by comparing profit driven by crop yields to drain system cost and selects an optimum drain layout. The optimization methodology used is the SIMPLEX method (Nelder and Mead, 1965). The SIMPLEX model was linked to the subsurface drainage model DRAINMOD (Skaggs, 1982) and to the surface hydraulic model KINE (Walker and Skogerboe 1987). The selected optimum drainage system maximizes the difference between total revenue, and the total cost of installation, operation and management of a particular …
Optimizing Short-Term Plume Containment: Comparison Of Well Arrangements., Herminio H. Suguino, Richard C. Peralta
Optimizing Short-Term Plume Containment: Comparison Of Well Arrangements., Herminio H. Suguino, Richard C. Peralta
Civil and Environmental Engineering Faculty Publications
Three well configurations were compared in terms of term ground-water contaminant plume containment. include parallel, octagonal and combination systems. system had three extraction wells upqradient and injection wells downgradient of the contaminant plume.
For each system, optimal pumping values and resulting potentiometric surface smoothness were computed for a hypothetical plume. Tested models utilized linear programming optimization and simulation via the response matrix method.
The octagonal well configuration required less pumping for a pumping period of 8 days, than did the parallel or combination systems. The octagonal configuration resulted in the smoothest potentiometric surface, in terms of difference in final head …