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Carrying Capacity - Springer Nature

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Last Updated: 10 January 2023

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Load Carrying Capacity and Vibration Characteristics of PC Box Girders with Damage

During a laboratory experiment, a laboratory experiment is intended to investigate changes in modal parameters PC box girders as a result of defective grouting and failures in PC tendons. According to the load-based bending results measured from the load-up curve, local cracks were dominated around the location of defective grouting and failure of PC tendons, and failure of PC tendons, and energy-based bending results were determined from a static loading curve. A modest correlation was found between the energy-based bending results and the natural frequency of 1st and 2nd bending modes.

Source link: https://doi.org/10.1007/978-3-030-93236-7_51


Characterization and Influences of the Load Carrying Capacity of Lightweight Hub Designs of 3D-Printed Gears (16MnCr5, PBF-LB/M-Process)

For more effective, environmentally friendly drive trains, a lightweight gear design is becoming more popular. P. B. F. -L. M. /M. 's additive manufacturing process could result in the manufacturing process of innovative lightweight designs. P. B. F. -L. B. /M. Gears manufactured in this contribution are shown in simple hub configurations for P. B. F. -L. B. /M. gears. The gears are tested for their static, dynamic load carrying capacity, and the effects of the lightweight hub on load carrying capacity is determined and measured.

Source link: https://doi.org/10.1007/978-3-662-65216-9_15


Influencing Factors of Water Resources Carrying Capacity: A Case Study of Henan Province, China

Water shortages, water ecological imbalance, water pollution, water quality degradation, and other topics have all become significant limitations on sustainable growth, with the rapid population growth and economic expansion in the current world. The influential factors, according to the authors, include social economic and population growth level, social water use and demand relationships, and urban sewage treatment capacity. The main factors that influence the WRCC level in each province-administered city are the following: the relationship between water supply and demand, the amount of natural river runoff in the region, and the amount of natural river runoff. The geographical distribution of WRCC in every province-administered city is uneven, and cities located in the Yellow River basin have significantly higher WRCC averages than other cities. The findings are a starting point for government departments in formulating water resources management policies.

Source link: https://doi.org/10.1007/978-981-19-5783-3_32


Evaluation of spatial variation of water resources carrying capacity using optimal method: a case study of Fujian, China

Regional water resources carrying capacity is an essential ingredient in regional sustainable growth. The selection of the weighting assignment method is a significant piece in the analysis of WRCC, but different WAMs can produce different results, which can be challenging to the actual WRCC assessment. The most dependable and stable WAM among the four objective WAMs is outlined and selected in second, from the four-objective WAMs, to assess WRCC in Fujian Province in terms of the reliability and stability of the evaluation results. The results show that the CRITIC method was the most effective and stable method under the same evaluation index system as the coefficient of variation method, the entropy method, and the equal weight method. The superimposition has an effect on the ecological water use rate, water production modulus, acreage irrigation, per capita water use, and COD emissions that are not limited to regional WRCC.

Source link: https://doi.org/10.1007/s11356-022-22284-6


Effect of different width ratio and transversal link pattern on the load carrying capacity of partially encased composite column

Filling concrete in between the empty spaces between two flanges of rolled steel H-section for increasing constructability and economic efficiency is one of the latest developments in the current building market, with partially encased steelu2013concrete composite column providing a smoother surface for achieving constructability and efficiency. The present study examined the partially enclosed composite column by altering the flange width to flange thickness ratio, flange width to web thickness ratio, and using different forms of transversal reinforcement under axial load. As the ratio of the width of the flange to the thickness of the web increased, the load-carrying capacity of the partially encased composite column increased gradually. The X-shape link had a greater peak load-carrying capacity than the horizontal and Z-shape links of all three types of transversal reinforcement, with a higher peak load-carrying capacity.

Source link: https://doi.org/10.1007/s42107-022-00498-w


Predicting the Axial Load Carrying Capacity of Columns Reinforced with GFRP Rebars Using ANN Modelling

To eliminate this, experiments have been carried out to replace steel in RCC by Glass Fiber Reinforced Polymer rebars. Several experimental findings were discussed in this paper, and the effects of replacing steel by GFRP rebars were investigated. The ANN model's reliability is tested by various regression evaluation methods, including MSE, RMSE, and R2. The ANN model outperformed all these models based on a comparison with the existing empirical equations and code structure. A subset of the experimental results obtained from work on GFRP reinforced columns is used for the purpose of determining the efficiencies of the ANN model. The column's geometrical dimensions are among the most crucial parameters for estimation of the strength of GFRP reinforced columns, according to the study.

Source link: https://doi.org/10.1007/978-3-031-12011-4_9


Analysis on the resource and environmental carrying capacity of coal city based on improved system dynamics model: a case study of Huainan, China

Many coal cities in China's major energy bases face serious challenges both in terms of resources and environment, as the major energy bases and several coal cities face significant challenges. This investigation selected Huainan city, a typical coal city in China, as the case, and in combination with the updated SD framework, analyzed its RECC more efficiently and dynamically. We developed 18 simulation scenarios based on the orthogonal method to dynamically predict RECC's growth trend in different environments. In all simulation scenarios, test 12 is the most cost-effective method of raising RECC.

Source link: https://doi.org/10.1007/s11356-022-24715-w

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions