Inp tooptimmempropslinkedinpost 25mar18_004
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1. Through multiple iterations of structural analysis and optimization, the range of unity check values among members narrowed and the average unity check increased but remained below the target. 2. The modelled structure weight initially increased to address overstressed members under lift conditions, then peaked after 10 iterations. 3. Setting less conservative targets in subsequent iterations could further increase unity checks and reduce structure weight.
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Inp tooptimmempropslinkedinpost 25mar18_003
1. The document summarizes the results of iterative structural optimization where the range of unity checks (UCs) narrowed and the modeled structure weight initially increased then peaked after 11 iterations as the model accommodated overstressed members under lift conditions.
2. While the average UC was still less than the target, further reducing conservative iteration targets was expected to increase UCs in subsequent iterations and further reduce the modeled structure weight.
3. Run times for each Sac and Macro iteration were about 1 and 2 minutes, respectively.
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Support slide3
The document summarizes the results of optimizing member sizes for a structural model through multiple iterations. It shows graphs of the unity check values and structure weight decreasing with each iteration. The overall conclusion is that the initial member sizes selected were conservative, minimal changes occurred after the second iteration, and the final optimized model had 20% of its weight from primary structure and 36% of the total module weight from structure. The runtime for each iteration was 3 minutes for SACS and 2 minutes for the macro.
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Inp tooptimmempropslinkedinpost 25mar18_003
1. The document summarizes the results of iterative structural optimization where the range of unity checks (UCs) narrowed and the modeled structure weight initially increased then peaked after 11 iterations as the model accommodated overstressed members under lift conditions.
2. While the average UC was still less than the target, further reducing conservative iteration targets was expected to increase UCs in subsequent iterations and further reduce the modeled structure weight.
3. Run times for each Sac and Macro iteration were about 1 and 2 minutes, respectively.
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This document shows unit allocation percentages for an EN1PIdesgnr across 6 quarters from Q3 2020 to Q2 2022. The percentages ranged from 30% to over 2000%, with the highest allocation being in Q4 2021 and the lowest in Q4 2020. Peak unit allocation exceeded 2500% in one quarter.
Slide10 en1 e_ldesgnrgraph
The document shows quarterly unit sales data from Q3 2020 to Q2 2022, with sales increasing dramatically each quarter from 217% to 2,500%. It also lists the product "EN1ELdesgnr" and notes it is overallocated based on the allocation numbers shown.
Slide9 mp psht6of6
This document outlines a project schedule with multiple tasks related to structural engineering for a construction project. The schedule includes tasks for load plans, concept studies, technical reviews, structural engineering management, structural outfit coordination, and tool arrangement coordination occurring from September 2019 through August 2023. Key milestones and dependencies between tasks are indicated.
Slide8 mp psht5of6
This document contains a list of tasks related to an engineering project including deliverables, durations, and start and finish dates. The tasks are organized into groups including Process Control Systems, Instrumentation, Module M15 Systems, and Structural works. The document outlines a timeline spanning from September 2019 to May 2022 for completion of the engineering works.
Slide7 mp psht4of6
This document contains a list of tasks with details including task name, deliverable name, start date, finish date, and duration in days. There are over 70 tasks related to electrical and instrumentation engineering listed. The tasks involve developing drawings, specifications, calculations, and other deliverables over multiple quarters from 2019 through 2023. Project resources are assigned to the tasks and progress is tracked as a percentage complete.
Slide6 mp psht3of6
The document outlines a schedule for engineering design tasks including piping and electrical. It lists 17 tasks with details on task name, deliverable, duration, start and finish dates. The tasks involve equipment arrangement and 2D drawings, isometric drawings and 3D modeling, specifications, data sheets, lists and single line diagrams. Progress is shown in percentages complete for each task on a quarterly basis through 2023.
Slide5 mp psht2of6
This document contains a list of tasks related to an engineering project with details on task name, deliverables, duration, start and finish dates. The tasks are grouped under safety, mechanical, and piping disciplines. Some of the key tasks include developing process data sheets, instrumentation diagrams, piping specifications and philosophies, mechanical studies, data sheets, and packages. The tasks span from June 2019 to April 2022.
Slide4 mp psht1of6
This document outlines a project schedule for engineering tasks over 470 days from April 2019 to May 2021. It includes early facility studies, design reviews at 30%, 60%, and 90% completion, and handover to the process team in April 2022. Process engineering tasks such as process calculations, guidelines, diagrams and data sheets will run from September 2019 to April 2022. Safety engineering tasks including philosophy, calculations and guidelines will also take place from September 2019 to April 2022 in parallel with process engineering.
Slide3 phasing ofp_rdelgrpswork
This document contains a deliverable group for a process project including 8 items: process philosophy/specifications, process calculations, process guidelines, process flow diagrams, process data sheets, heat and material balance/utilities balance, process and instrumentation diagrams, and process discipline management and interface. It provides the resource type, resource home, and estimated duration in weeks from project start for each item.
Slide2 discipline grupspt2of2
This document outlines deliverable groups, manhours, and resources for structural and piping disciplines for a typical module (Mxx). It lists structural deliverables such as management, standard drawings, concept designs, calculation reports, and structural drawings. It also lists piping deliverables including management, specifications, stress analysis, bulk materials lists, component data sheets, equipment arrangement drawings, isometrics, and models. Manhours range from 100 to 2200 hours per deliverable, with resources including engineers and designers from owner and contractor teams.
Slide1 discipline grupspt1of2
This document outlines the deliverable groups, resource types, and estimated manhours for engineering disciplines on a project. It lists the major engineering disciplines of Process, Mechanical, Electrical, Instrumentation and Safety. For each discipline it identifies the key deliverables such as specifications, calculations, diagrams and management tasks. It also notes that manhour estimates are per module and can vary depending on the specific module.
Art7 slide3
This document discusses horizontal blast loads coming from the east side of a plant. It shows the direction of space load vectors in pink and indicates pressure relief wall penetrations with horseshoes. The document also notes that the nearest module joint is at the tip of the arrow, which is the opposite end of the blast direction.
Art7 slide2a
This document provides a dry weight estimate for the first stage pipe system (SK1) showing footprints as blue rectangles and weight locations marked with pink arrows at pipe support work points (PS WP's).
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An improved modulation technique suitable for a three level flying capacitor ...
This research paper introduces an innovative modulation technique for controlling a 3-level flying capacitor multilevel inverter (FCMLI), aiming to streamline the modulation process in contrast to conventional methods. The proposed
simplified modulation technique paves the way for more straightforward and
efficient control of multilevel inverters, enabling their widespread adoption and
integration into modern power electronic systems. Through the amalgamation of
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pulse, this controlling technique attains energy equilibrium across the coupling
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Rainfall intensity duration frequency curve statistical analysis and modeling...
Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval.
Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall.
Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.
官方认证美国密歇根州立大学毕业证学位证书原版一模一样
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留信网认证的作用:
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6:个人职称评审加20分
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学校原版美国波士顿大学毕业证学历学位证书原版一模一样
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本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
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8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
LLM Fine Tuning with QLoRA Cassandra Lunch 4, presented by Anant
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Advanced control scheme of doubly fed induction generator for wind turbine us...
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
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Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
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An improved modulation technique suitable for a three level flying capacitor ...
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Inp tooptimmempropslinkedinpost 25mar18_004
- 1. OVERALL CONCLUSION: 1. Range between minimum and maximum UC narrowed as the number of iterations increased. 2. Modelled structure weight increased in early iterations to accommodate Lift condition overstressed members then peaked after 10 iterations 3. Noting that Average UC is still less than the target, it is expected that by setting less conservative next-iteration targets, the UC’s can be increased in subsequent iterations thus leading to further modelled structure weight reduction. 4. Run Times for each iteration 1. Sacs – 10 min 2. Macro – 4 min Model at Start of Analyses MCHTM Inc EXAMPLE #2 – FPSO Topsides Module Model after 11 Iterations Weight of modelled structure = 6633 kN Weight of modelled structure = 8211 kN 0.00 0.20 0.40 0.60 0.80 1.00 1.20 1.40 1.60 1.80 OO 8A 8B 8C 8D 8E 8F 8G 8H 8I 8J 8K UnityCheck(UC) Iterations Modelled Members Min, Max & Avg UC at each Iteration Avg UC Min UC Max UC 6000 6500 7000 7500 8000 8500 OO 8A 8B 8C 8D 8E 8F 8G 8H 8I 8J 8K ModelledStructureWeight(kN) Iterations Modelled Structure Weight at each Iteration #off members – 1759 #off member section groups – 23 Overall target member UC set as 0.95 NOTE: Prior to these analyses, the structure had been designed for in-situ conditions but not the lift condition.