作者机构：
[Jialing Li; Haihong Li; Jiayi Huang] Key Laboratory of Key Technologies of Digital Urban-Rural Spatial Planning of Hunan Province, Department of Urban and Rural Planning, College of Architecture and Urban Planning, Hunan City University, Yiyang, People’s Republic of China
通讯机构：
[Jialing Li] K;Key Laboratory of Key Technologies of Digital Urban-Rural Spatial Planning of Hunan Province, Department of Urban and Rural Planning, College of Architecture and Urban Planning, Hunan City University, Yiyang, People’s Republic of China
期刊：
Advances in Transportation Studies,2023年1(Special Issue):111-122 ISSN：1824-5463
通讯作者：
He, C.
作者机构：
[Xiong H.H.] School of Architecture and Urban planning, Hunan City University, Yiyang, 413000, China;Department of Architecture and Art, Central south University, Changsha, 410012, China;[He C.] School of Architecture, Changsha University of Science and Technology, Changsha, 410114, China;[Dissanayake S.] College of Engineering, Kansas State University, Manhattan, KS 66506, United States;[Jiang J.S.] School of Architecture and Urban planning, Hunan City University, Yiyang, 413000, China, Department of Architecture and Art, Central south University, Changsha, 410012, China
通讯机构：
[He, C.] S;School of Architecture, China
关键词：
balanced distribution;fuzzy ant colony algorithm;mixed traffic flow;urban roads
期刊：
International Journal of Energy Technology and Policy,2023年18(3-5):179–194 ISSN：1472-8923
作者机构：
1. Management School, Hunan City University, Yiyang, 413000, China;Hunan New Type Urbanization Research Institute, Yiyang, 413000, China;2. School of Economics and Management, Hainan Normal University, Haikou, 571158, China;3. Management School, Hunan City University, Yiyang, 413000, China
关键词：
improved minimum cross entropy method;wind power generation;energy storage investment;benefit evaluation;continuous function
摘要：
In order to overcome the problems of low evaluation accuracy and poor correlation in the selection of evaluation parameters in existing benefit evaluation methods, a wind power generation energy storage investment benefit evaluation method based on the improved minimum cross entropy method is proposed. Firstly, in order to clarify the output characteristics of wind power generation, a wind power generation characteristic model is constructed. Then, based on the output characteristics of wind power generation, investment benefit evaluation indicators are determined from the perspectives of economic benefits, cost benefits, and environmental benefits. Finally, the continuous function improved minimum cross entropy method is introduced to calculate the weight of the evaluation index. An investment benefit evaluation model is then built. The test results show that the proposed method can improve the accuracy of investment benefit evaluation, with an evaluation accuracy of over 95%, and the parameter correlation in the evaluation is high.
摘要：
BACKGROUND: Respiratory mechanics monitoring provides useful information for guiding mechanical ventilation, but many measuring methods are inappropriate for awake patients. This study aimed to evaluate the accuracy of dynamic mechanics estimation using expiratory time constant (RC(exp)) calculation during noninvasivepressure support ventilation (PSV) with air leak in different lung models. METHODS: A Respironics V60 ventilator was connected to an active breathing simulator for modeling five profiles: normal adult, restrictive, mildly and severely obstructive, and mixed obstructive/restrictive. Inspiratory pressure support was adjusted to maintain tidal volumes (V(T)), achieving 5.0, 7.0, and 10.0ml/kg body weight. PEEP was set at 5 cmH(2)O, and the back-up rate was 10bpm. Measurements were conducted at system leaks of 25-28L/min. RC(exp) was estimated from the ratio at 75% exhaled V(T) and flow rate, which was then used to determine respiratory system compliance (C(rs)) and airway resistance (R(aw)). RESULTS: In non-obstructive conditions (R(aw) ≤ 10 cmH(2)O/L/s), the C(rs) was overestimated in the PSV mode. Peak inspiratory and expiratory flow and V(T) increased with PS levels, as calculated C(rs) decreased. In passive breathing, the difference of C(rs) between different V(T) was no significant. Underestimations of inspiratory resistance and expiratory resistance were observed at V(T) of 5.0ml/kg. The difference was minimal at V(T) of 7.0ml/kg. During non-invasive PSV, the estimation of airway resistance with the RC(exp) method was accurately at V(T) of 7.0ml/kg. CONCLUSIONS: The difference between the calculated C(rs) and the preset value was influenced by the volume, status and inspiratory effort in spontaneously breathing.
关键词：
parametric analysis;tandem compound piles;bearing capacity;discrete element method;finite difference method
摘要：
The tandem compound piles are a combination of a granular column in the deep section and a concrete pile in the shallow section. This method effectively utilizes the consolidation and densification effects of the granular column, as well as the cementation strength of the concrete material. The granular column acts as a consolidation path, aiding in the densification of the surrounding soil. On the other hand, the concrete pile prevents the bulging deformation that commonly happens in granular columns during field construction. To study the bearing capacity and deformation of the improved foundation with tandem compound piles, a coupled continuum-discrete numerical model was developed in this study. The accuracy of the model was confirmed by comparing its results with experimental measurements. Additionally, a parametric study was conducted, considering three influential factors: (1) cushion thickness and modulus, (2) length, modulus, diameter, and spacing of the tandem compound pile, and (3) soil modulus. The results indicated that reducing the cushion thickness and increasing the cushion modulus allowed the pile to bear more loads. Moreover, increasing the length and modulus of the deep section of the pile reduced deformation and improved the bearing capacity. The pile modulus, however, had a limited effect on enhancing the bearing capacity. It is important to maintain a critical pile spacing of at least twice the pile diameter. Finally, a high modulus of the underlying stratum led to higher vertical and radial stresses in the pile.
作者机构：
[Peng, Li] Hunan City Univ, Key Lab Energy Monitoring & Edge Comp Smart City, Yiyang 413002, Peoples R China.;[Zabihi, Alireza] Islamic Azad Univ, Dept Elect Engn, Najafabad Branch, Esfahan 8514143131, Iran.;[Shirvani, Hadis; Azimian, Mahdi] Islamic Azad Univ, Dept Elect & Comp Engn, Kashan Branch, Kashan 8715998151, Iran.;[Shahnia, Farhad] Murdoch Univ, Discipline Engn & Energy, Perth, WA 6150, Australia.
通讯机构：
[Shahnia, F ] M;Murdoch Univ, Discipline Engn & Energy, Perth, WA 6150, Australia.
关键词：
multiobjective;private investor;renewable energy sources;robust optimization;Transmission expansion planning;uncertainties
摘要：
Power system restructuring has changed transmission expansion planning (TEP) and caused many complications due to conflicting and contradictory objectives. The transmission capacity expansion would significantly affect the revenue of investor-owned renewable energy sources (RESs). Thus, the investment decisions on merchant RESs must be considered in the TEP studies conducted by the transmission system operator (TSO). In this regard, this paper aims to propose a multi-objective co-planning of investment in transmission networks and merchant RESs with three objective functions: minimizing the investment cost of newly deployed transmission lines, minimizing transmission congestion cost, and minimizing load curtailment in N-1 conditions. Moreover, the TSO guarantees a desirable rate of return for private investors to finance renewable energy projects. Further, a robust optimization (RO) technique is employed to cope with the uncertainties associated with demand and renewable energy production. Also, a posteriori multi-objective optimization algorithm, i.e., the non-dominated sorting genetic algorithm (NSGAII), is applied to solve the advanced optimization problem, followed by the fuzzy min-max method to acquire the final optimal solution. Finally, the IEEE RTS 24-bus test system is utilized to demonstrate the effectiveness and applicability of the suggested approach.
作者机构：
[Liu, Bin] Hunan Normal Univ, Sch Geog Sci, Changsha 410081, Peoples R China.;[Liu, Bin; Yi, Chun] Hunan City Univ, Coll Architecture & Urban Planning, Yiyang 413000, Peoples R China.;[Liu, Bin; Yi, Chun] Key Lab Digital Urban & Rural Spatial Planning Hun, Yiyang 413000, Peoples R China.;[Lu, Chan] Cent South Univ, Sch Architecture & Art, Changsha 410075, Peoples R China.;[Lu, Chan] Hunan Univ Technol, Sch Urban & Environm, Zhuzhou 412007, Peoples R China.
通讯机构：
[Chan Lu] S;School of Architecture and Art, Central South University, Changsha 410075, China<&wdkj&>School of Urban and Environment, Hunan University of Technology, Zhuzhou 412007, China<&wdkj&>Author to whom correspondence should be addressed.
关键词：
green and low-carbon;research hotspot;research stage;content system;China;rural area
摘要：
Green and low-carbon rural development (GLRD) is becoming an important way to explore sustainable development in rural areas of China. It is significant for the sustainable development of the rural economy and of society to build a rural carbon sink system, advocate low-carbon emissions in rural areas, and promote the development of rural green industries and rural transformation. In this study, the existing knowledge system of GLRD was analyzed using CiteSpace. Keywords related to GLRD and their occurrence frequency were identified using keyword co-occurrence analysis. The knowledge evolution stages of GLRD were explored using citation burst analysis. Thus, the evolution of the research related to GLRD was revealed. The summary of Chinese GLRD-related research literature shows that: (1) according to the CiteSpace analysis, the GLRD research can be divided into three stages: starting, rising, and expanding and deepening; (2) GLRD research has focused on low-carbon development, green development, and then green and low-carbon integrated development, thus forming three major research content systems; (3) GLRD’s research content gradually became rich, as over time, the research focus became increasingly prominent and research integration was gradually strengthened; (4) the GLRD literature still has some limitations, e.g., nonunified measurement standards, insufficient research depth and practical significance, and relatively weak innovative policy research; (5) future research should strengthen the scientific evaluation and prediction of rural green and low-carbon functions. The industrial development pathways and regional characteristic modes of GLRD should be further studied. Innovative GLRD policies should be proposed to provide a theoretical basis and decision-making reference for GLRD and construction.
关键词：
Semiconductors;Nanocomposites;Coaxial CdS@ZnO nanowire array;Photodegradation;Methylene blue
摘要：
Herein, a novel coaxial CdS@ZnO nanowire array catalyst was synthesized by magnetron sputtering and hy-drothermal method. The optimum photocatalytic composite was obtained by controlling the ratio of CdS and ZnO. Take methylene blue (MB) as the model, the CdS@ZnO nanowire array (CdS@ZnO-10) exhibited strong photocatalytic solid activity, and the highest adsorption and photodegradation rate of MB reached 90.38 % in 50 min and 99.13 % in 120 min under simulated sunlight illumination. The mechanism of the heterojunction interface affecting photocatalytic performance was studied. Therefore, the synthesis approach could offer new design and controllable construction of coaxial structure for organic dye pollutant degradation.
