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Carrying Capacity - Crossref

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Last Updated: 10 September 2022

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Extended calculation method for determining the pitting load carrying capacity of bevel and hypoid gears

Abstract: The failure modes of bevel and hypoid gears, such as pitting, scuffing, tooth flank fracture, and the phenomenon micropitting are all limiting. According to method B of ISO 10300:2014, the complexity of the real geometry of bevel and hypoid gears is reduced to a virtual cylindrical gear geometry. This paper presents an extended estimation scheme for the determination of the pitting load carrying capacity of bevel and hypoid gears along the path of contact of the virtual cylindrical gear geometry. Using the same input information as the new standard calculation method ISO 10300-2:2014, the extended method allows a more precise estimation of the pitting load carrying capacity than the previous standard calculation method ISO 10300-2:2014 using the same input data. In addition, the validation of an extended calculation procedure with calculation results of an intricately validated loaded tooth contact analysis, which corresponds to method A of ISO 10300-2:2014, is presented.

Source link: https://doi.org/10.1007/s10010-022-00596-w


Modernization of platform Schnabel car with a carrying capacity of 220 tons

According to the strength calculation results of the span bolster of the Schnabel vehicle, the paper is intended to determine the stability of the component of the Schnabel car's special configuration in order to increase the carrying capacity up to 250 tons, as well as considering the possibility of using special trucks to transport the oversized cargo. A special version of the span bolster of the Schnabel vehicle was produced, which allowed the carrying capacity of the platform Schnabel vehicle to grow to 250 tons. The possibility of testing the integrity of the Schnabel car design details using modern SolidWorks CAD is considered. The mathematical model of the newized sixteen-axle platform Schnabel car with a loading capacity up to 250 t was further developed. The introduction of the mathematical model in SolidWorks CAD enabled the testing of the Schnabel vehicle's durability.

Source link: https://doi.org/10.15802/stp2021/253549


Spatiotemporal Heterogeneity and Driving Factors of Water Resource and Environment Carrying Capacity under High-Quality Economic Development in China

Rapid economic growth and social integration in China have resulted in serious water pollution and water resource shortages, limiting the sustainable growth that could provide both the socioeconomic growth and water resources carrying capacity. Approximately 67% of provinces remain in an overburdened state, meaning that the support indicator in most provinces is smaller than the pressure indicator used by human social services. WRECC with the greatest degree of regional variation in Eastern regions, with a medium-level of WRECC, in comparison to western regions, who have a high-level of WRECC with the smallest degree of regional variation. These findings provide a comprehensive overview of the latest WRECC in China's provinces, which may be used as a benchmark for establishing environmentally sustainable water development strategies in the midst of high-quality economic growth.

Source link: https://doi.org/10.3390/ijerph191710929


Reliability-based load-carrying capacity assessment of bridges using structural health monitoring and nonlinear analysis

If the rating is not linked to the field results or if simplifications are factored into evaluation, it could be misleading. The difference between design and assessment requirements is apparent in this report, as shown by recent updates to the Australian Bridge assessment software, as well as the introduction of structural health monitoring for bridge evaluation. Both load-carrying capacity and safety index of the bridge could change drastically if new bridge measurements were used instead of as-designed bridge information, according to results of study at various assessment levels. The results of this research showed that accuracy of bridge assessment has dramatically increased when structural health monitoring procedures, reliability estimation, and nonlinear finite element analysis were included, which would have definite implications for both practitioners and asset managers, as well as asset managers.

Source link: https://doi.org/10.1177/1475921718808462


Method for Estimating Ecological Carrying Capacity of DataPoor Coastal Finfish Cage Aquaculture Sites in Southeast Asia at System-Scale

This paper explores the introduction of a simple and generally applicable method for estimating the ecological carrying capacity of coastal finfish cage aquaculture at the scale of Southeast Asia and potentially other data-poor island countries. Traditional fish farms were located outside of suitable areas and large-scale commercial farm clusters operating beyond ecological carrying capacity, according to the analysis. However, it was discovered that the production output of the Bali site is much below ECC, which means that it could be increased dramatically without damaging the climate. Recommendations have been made for reallocating the misplaced farms, as well as reducing fish production of the farm clusters in the east, as well as increasing overall fish production. To foster sustainable growth, the ongoing operational early warning monitoring at the Bali site is being supplemented by regular monitoring of sediment quality in the seafloor and water quality.

Source link: https://doi.org/10.23880/ijoac-16000212


Evaluation of carrying capacity based on land capability of Kulon Progo Regency as an input for spatial planning in the new aerotropolis era

Due to airport construction in Kulon Progo, the new aerotropolis era has boosted regional growth and improved the area's image from rural to urban-oriented, and has improved urbanization. According to the analysis results, 56. 13% of the Kulon Progo area was dominated by moderate to low land capability classes, with the key inhibiting factor being slopes. In addition, the analysis of conformity with land use/land cover in 2020 revealed that the majority of land uses were in not conform and conditionally conform status. Hence, the carrying capacity of the land in Kulon Progo is in good shape.

Source link: https://doi.org/10.29244/jpsl.12.3.395-403


The Carrying Capacity Analysis of Rice Plants Agriculture to Fulfill Food Needs in Pati Regency

The estimation of the carrying capacity of food crops is used to determine the extent to which an area meets its food requirements. The aims of this research were to determine the maximum population and year in Pati Regency to satisfy food needs, as well as quantifying the current population and year. Using an overlay map analysis with ArcGIS, the method of estimating the carrying capacity of rice plants involves both estimation of natural resource availability and identification of land that has the potential to become a sustainable food cropland. The maximum year Pati Regency can be self-sufficient in food is 2040, according to the results of population estimations using the geometric method.

Source link: https://doi.org/10.19184/geosi.v7i2.29372


Evaluation of Regional Water Environmental Carrying Capacity and Diagnosis of Obstacle Factors Based on UMT Model

To build the water carrying capacity index system, the social and ecological framework was used to foster the sustainable growth of a social economy and ecology. The comprehensive level of water environmental carrying capacity in the Gansu portion of the Yellow River basin from 2015 to 2020 was determined and analysed based on the unscientified measure theory and the obstacle factor model. The comprehensive level of water environmental carrying capacity fluctuated and increased overall, but the volume increased and increased overall, as well as grade III from 2015 to 2017 and grade IV in 2018 and 2020. The research findings and methods presented in this paper may serve as a theoretical basis for the assessment of water environmental carrying capacity for other rivers and lakes.

Source link: https://doi.org/10.3390/w14172621

* 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