Determination of Stress Release Coefficient and Analysis of Influence Factors in Granular Soil Tunnel

2010 ◽  
Author(s):  
Zhuang Li ◽  
Shun-hua Zhou
Keyword(s):  
Influence Factors ◽  
Granular Soil ◽  
Stress Release ◽  
Release Coefficient

scholarly journals Influence Factors for the Determination of Vermicular Graphite Ratio in Cast Iron Measured by Ultrasonic Method

2018 ◽  
Vol 59 (7) ◽  
pp. 1186-1191
Author(s):  
Qingyi Liu ◽  
Ailong Jiang ◽  
Junbo Wang ◽  
Dequan Shi
Keyword(s):  
Cast Iron ◽  
Ultrasonic Method ◽  
Influence Factors

Evaluation of Uncertainty for the Determination of Magnesium Oxide Content in Limestone by the Atomic Absorption Spectrometry

2014 ◽  
Vol 707 ◽  
pp. 283-288
Author(s):  
Xiang Dong Wen ◽  
Zheng Zhou ◽  
Wen Yang Pan ◽  
Mei Shao
Keyword(s):  
Atomic Absorption Spectrometry ◽  
Atomic Absorption ◽  
Magnesium Oxide ◽  
Influence Factors ◽  
Absorption Spectrometry ◽  
Oxide Content ◽  
Standard Solution ◽  
The Mathematical Model

According to GB/T3286.1-2012(The determination of calcium oxide and magnesium oxide content in limestone and dolomite), the mathematical model of magnesium oxide content determination in limestone by atomic absorption spectrometry was established. The various uncertainty factors of different elements for a sample were discussed and compared in the testing process. The confidence interval for the measurement result was (0.74±0.03)%,k=2 in uncertainty evaluation .The results showed that the variability of working curve and accuracy of standard solution volume for working curve were main influence factors of uncertainty. It could effectively reduce the uncertainty from the perspective of the main factors,and improve the quality of analysis.

scholarly journals Study of Road Landscape Design at Portal Space of Small Towns in Guanzhong#

2015 ◽  
Vol 9 (1) ◽  
pp. 92-98 ◽  
Author(s):  
Quanhua Hou ◽  
Wenhui Wang
Keyword(s):  
Land Use ◽  
Public Service ◽  
Influence Factors ◽  
Small Towns ◽  
Land Use Intensity ◽  
Analytic Hierarchy ◽  
Intensity Index ◽  
Influence Mechanism ◽  
Different Characteristics

To further study the effects of public service facilities on the land use intensity at regulatory planning level and enhance the scientific determination of land use intensity, this paper expounds the influence mechanism and factors of the public service facilities on land use intensity in regulatory planning, and conducts quantitative evaluation of the influence factors through theoretical analysis, mathematical analysis and analytic hierarchy process etc. The results show that the influence mechanism of public service facilities on the land use intensity goes throughout all three levels of regulatory planning. Different characteristics of public service facilities on each level determine their different influence factors and take effect on the land use intensity index of the corresponding level, thus affecting the determination of the block floor area ratio. Based on this, this paper proposes a method to determine the land use intensity in regulatory planning under the restriction of public service facilities and completes the test in practice, which may provide a reference for determining the land use intensity in regulatory planning.

Research on Water Damage of Asphalt Pavement and Control Measures

2012 ◽  
Vol 178-181 ◽  
pp. 1560-1563 ◽  
Author(s):  
Yan Liu ◽  
Bo Liu
Keyword(s):  
Asphalt Pavement ◽  
Asphalt Mixture ◽  
Influence Factors ◽  
Water Source ◽  
Control Measures ◽  
Water Damage ◽  
Prevention And Control Measures ◽  
Pavement Damage ◽  
And Control

Asphalt pavement of water damage is a major form of our country highway asphalt pavement damage, the paper analyzes pavement structure internal water source, water damage of asphalt pavement of the influence factors, through the determination of the three indexes and asphalt of asphalt mixture splitting tensile strength, water erosion proof of asphalt mixture and its influence, and put forward the corresponding prevention and control measures to improve the pavement performance and extend the service life of road surface has important practical value.

scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI PETANI DALAM PENGALOKASIAN DANA GANTI RUGI KONVERSI LAHAN PERTANIAN (Suatu Kasus Konversi Lahan Sawah untuk Pembangunan Bandara Internasional Jawa Barat di Kecamatan Kertajati Kabupaten Majalengka)

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Sri Umyati ◽  
Tuhpawana Sendjaja
Keyword(s):  
Structural Equation Model ◽  
Structural Equation ◽  
Reference Group ◽  
Descriptive Analysis ◽  
Influence Factors ◽  
Equation Model ◽  
Land Conversion ◽  
Purposive Sampling ◽  
Know How

Abstrak Tujuan Penelitian ini adalah untuk mengetahui faktor-faktor yang mempengaruhi keputusan petani dalam mengalokasikan dana ganti rugi konversi lahan, mengetahui besarnya pengaruh karakteristik petani dan kelompok acuan terhadap ganti rugi konversi lahan serta mengetahui pengaruh karakteristik petani, kelompok acuan dan ganti rugi konversi lahan terhadap keputusan petani dalam mengalokasikan dana ganti rugi lahan. Metode penelitian yang digunakan dalam penelitian ini adalah metode deskriptif kuantitatif. Analisis yang digunakan adalah analisis Structural Equation Model (SEM) dengan menggunakan AMOS. Teknik penentuan responden dilakukan secara sengaja (Purposive) dengan penentuan sampel menggunakan rumus slovin. Hasil penelitian menunjukan bahwa dengan menggunakan analisis deskriptif faktor-faktor yang mempengaruhi keputusan petani dalam mengalokasikan dana ganti rugi lahan di daerah penelitian adalah karakteristik petani yang termasuk dalam kategori sedang (60,76%), kelompok acuan dalam kategori rendah (46,20%) dan ganti rugi konversi lahan dalam kategori rendah pula (47,20%). Sedangkan dari hasil analisis menggunakan AMOS diperoleh hasil bahwa variabel karakteristik petani dan kelompok acuan tidak berpengaruh terhadap ganti rugi konversi lahan. Namun variabel karakteristik petani dan kelompok acuan terlihat berpengaruh langsung terhadap keputusan petani, besarnya pengaruh dari variabel-variabel tersebut berturut-turut adalah sebesar 0.17 dan 0.68. Sedangkan variabel ganti rugi konversi lahan tidak berpengaruh terhadap keputusan petani. Kata Kunci : Ganti Rugi, Keputusan, Konversi Lahan, PetaniAbstract The purpose of this research are to know the factors that influence of peasant in the alocation of compensation fund, to know how many the influence of peasant caracteristic and reference group to compensation fund on land conversion and to know the influence of peasant caracteristic and reference group to decisions of peasant in the allocation of and compensation fund. The Research methode use in this research is a kuantitatif descriptive. The analisis use is an Structural Squation Models (SEM) with AMOS. The tecnique use in this research for the determination of respondent is purposive sampling and the determination of sampling with solvin. The result of this research indicated that with use the descriptive analysis that influence factors to influence of peasant in the allocation of land compensastion fund at the research palace are the peasant caracteristic is medium (60.76%), the reference group is lowest (46.20%) and land conversation is lows too (47.20%). The result of AMOS analysis, the caracteristic of peasant and reference group is not influence indirect to compensation fund on land conversation. While the caracteristic of peasant and reference group are influence direct to decision of peasant, the size of factors influence both 0.17 and 0.68 and the compensation fund land conversion is not influence to peasant decision.Keywords : Decisions, Land Conversation, Peasant, Compensation. 

scholarly journals Influence factors on the critical micelle concentration determination using pyrene as a probe and a simple method of preparing samples

2020 ◽  
Vol 7 (3) ◽  
pp. 192092
Author(s):  
Hao Li ◽  
Danna Hu ◽  
Feiqing Liang ◽  
Xiaowei Huang ◽  
Qiuhua Zhu
Keyword(s):  
Critical Micelle Concentration ◽  
Sodium Dodecyl ◽  
Influence Factors ◽  
Fast Response ◽  
Exciting Light ◽  
Fluorometric Method ◽  
Average Deviation ◽  
Simple Method ◽  
Application Range

The critical micelle concentration (CMC) is an important parameter of widely used surfactants and needs to be measured in the application and development of surfactants. Fluorometric method is a widely used method determining CMC values owing to the advantages of highly sensitivity, fast response and wide application range. There are two common methods (I and II) of preparing samples for CMC fluorometric determination. In the process of developing CMC probes with aggregation-induced emission (AIE) characteristics, we found that methods I and II were not suitable for CMC probes with AIE charateristics and developed a new sample preparation method (III), which is not only suitable for CMC probes with AIE characteristic but also decreases operation procedures and errors owing to omitting the addition of micro amount of dyes into each sample. To ascertain if method III is also suitable for other CMC probes without AIE characteristics, the CMC values of surfactants were determined by fluorometric method using widely used pyrene without AIE charateristic as probe and methods I–III to prepare samples. The obtained experimental results proved that method III not only was suitable for preparation of samples for CMC determination of surfactants using pyrene as probe but also led to the least average deviation (methods I–III led to ±0.13, ±0.34 and ±0.05 mM deviation for the CMC determination of sodium dodecyl sulfate (SDS), respectively). The CMC determination using pyrene as probe is based on its change in the ratio ( I FIII / I FI ) of its emission peaks I and III with surfactant concentration. Unexpectedly, it was found that the I FIII / I FI value of pyrene in surfactant solutions is sensitive to the measurement conditions changing exciting light energy, such as slit widths and sample-measured number. In addition, it was found that surfactant SDS or cetrimonium bromide from different suppliers not only has significantly different CMC values but also leads to very different I FIII / I FI values of pyrene in a certain concentration of surfactant, which can be used as a simple method to distinguish the same surfactant with different CMC values.

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