Lilik Astari^1,2,*, Benoit Belleville¹, Kenji Umemura³, Alex Filkov⁴, Barbara Ozarska¹, Robert H. Crawford⁵

Journal of Renewable Materials, Vol.12, No.10, pp. 1729-1756, 2024, DOI:10.32604/jrm.2024.054786 - 23 October 2024

Abstract The demand for particleboard is increasing along with economic and population growth. However, two major barriers to the manufacture of particleboard are a shortage of raw materials (woodchips) and the emission of formaldehyde from conventional adhesives. Agricultural by-products such as corn stalks contain an abundance of renewable lignocellulosic fiber. This study evaluates the effect of citric acid as a natural adhesive and fire retardant addition on the physical, mechanical, and fire retardancy properties of particleboards fabricated from corn stalks. A cost-effective and inorganic salt, calcium carbonate, was tested to enhance the fire retardancy. Ammonium dihydrogen… More > Graphic Abstract

Shengdong Cheng¹, Juncheng Gao^1,*, Hongning Qi^2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.1, pp. 871-892, 2024, DOI:10.32604/cmes.2024.052830 - 20 August 2024

Abstract Driven piles are used in many geological environments as a practical and convenient structural component. Hence, the determination of the drivability of piles is actually of great importance in complex geotechnical applications. Conventional methods of predicting pile drivability often rely on simplified physical models or empirical formulas, which may lack accuracy or applicability in complex geological conditions. Therefore, this study presents a practical machine learning approach, namely a Random Forest (RF) optimized by Bayesian Optimization (BO) and Particle Swarm Optimization (PSO), which not only enhances prediction accuracy but also better adapts to varying geological environments… More > Graphic Abstract

Junhui Li¹, Yuqing Zhang¹, Can Chen², Xiaoxiao Wang², Yinchi Shao², Xingxu Zhu¹, Cuiping Li^1,*

Energy Engineering, Vol.121, No.9, pp. 2389-2408, 2024, DOI:10.32604/ee.2024.050239 - 19 August 2024

Abstract Aiming at the consumption problems caused by the high proportion of renewable energy being connected to the distribution network, it also aims to improve the power supply reliability of the power system and reduce the operating costs of the power system. This paper proposes a two-stage planning method for distributed generation and energy storage systems that considers the hierarchical partitioning of source-storage-load. Firstly, an electrical distance structural index that comprehensively considers active power output and reactive power output is proposed to divide the distributed generation voltage regulation domain and determine the access location and number… More >

Xulei Wu¹, Hailong Yu^1,*, Panrong Wu¹, Chaoqian Wang¹, Haiqun Chen¹, Yunlan Sun¹, He Zheng²

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.7, pp. 1481-1498, 2024, DOI:10.32604/fdmp.2024.047092 - 23 July 2024

Abstract The development of more environment-friendly ways to dispose of oil sludge is currently regarded as a hot topic. In this context, gasification technologies are generally seen as a promising way to combine oil sludge with coal–water slurry (CWS) and generate resourceful fuel. In this study, a novel five-nozzle gasifier reactor was analyzed by means of a CFD (Computational fluid dynamic) method. Among several influential factors, special attention was paid to the height-to-diameter ratio of the gasifier and the mixing ratio of oil sludge, which are known to have a significant impact on the flow field, More >

Na Liu¹, Junxiu Wang^2,3, Wanli Zang^4,*

International Journal of Mental Health Promotion, Vol.26, No.5, pp. 377-387, 2024, DOI:10.32604/ijmhp.2024.047808 - 30 May 2024

Abstract Objective: The importance of good sleep for energy recovery and overall physical and mental health cannot be overstated. However, the increasing competitiveness of society, diversifying lifestyles, and the rapid spread of the internet and electronic devices have significantly impacted people’s sleep patterns, particularly through bedtime procrastination. Therefore, this study aims to investigate the relationship and underlying mechanisms between sleep determination, anxiety, and bedtime procrastination among the Chinese population. Method: The study utilized data from a national survey—the China Residents’ Sleep Condition Survey (November 2021, with 6,037 participants). By constructing mediation and moderation models, it analyzed the… More >

Xilong Zheng^*, Qiong Wang, Di Guan

Structural Durability & Health Monitoring, Vol.18, No.3, pp. 361-376, 2024, DOI:10.32604/sdhm.2024.048473 - 15 May 2024

Abstract The deteriorated continuous rigid frame bridge is strengthened by external prestressing. Static loading tests were conducted before and after the bridge rehabilitation to verify the effectiveness of the rehabilitation process. The stiffness of the repaired bridge is improved, and the maximum deflection of the load test is reduced from 37.9 to 27.6 mm. A bridge health monitoring system is installed after the bridge is reinforced. To achieve an easy assessment of the bridge’s safety status by directly using transferred data, a real-time safety warning system is created based on a five-level safety standard. The threshold More >

Hanpeng Kou¹, Tianlong Bu¹, Leer Mao¹, Yihong Jiao^2,*, Chunming Liu²

Energy Engineering, Vol.121, No.4, pp. 1027-1048, 2024, DOI:10.32604/ee.2023.045358 - 26 March 2024

Abstract

In order to play a positive role of decentralised wind power on-grid for voltage stability improvement and loss reduction of distribution network, a multi-objective two-stage decentralised wind power planning method is proposed in the paper, which takes into account the network loss correction for the extreme cold region. Firstly, an electro-thermal model is introduced to reflect the effect of temperature on conductor resistance and to correct the results of active network loss calculation; secondly, a two-stage multi-objective two-stage decentralised wind power siting and capacity allocation and reactive voltage optimisation control model is constructed to take account

… More > Graphic Abstract

Liulei Hao¹, Hongjun Yu^1,*, Licheng Guo¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.08918

Abstract To overcome the harsh experimental conditions of determining the mode-II critical energy release rate G_IIC, a flexible experiment-simulation method for determining G_IIC is proposed based on the mixed-mode fracture experiments and the corresponding simulations by the mixed-mode phase-field model. In details, a mixedmode fracture experiment is first conducted to obtain the initial crack deflection angle. Subsequently, a series of phase-field simulations are conducted by altering the value of G_IC/G_IIC to reproduce the experimental result so as to determine the value of G_IIC with a known G_IC. Three mixed-mode fracture tests (single edge cracked circular test, central crack rectangular… More >

Suyadi Kartorono^*, Herlien Dwiarti Setio, Adang Surahman, Ediansjah Zulkifli

Structural Durability & Health Monitoring, Vol.17, No.3, pp. 195-208, 2023, DOI:10.32604/sdhm.2022.023259 - 25 June 2023

Abstract This paper sums up the determining analysis of the measuring location of T_refl using a thermocouple during the thermography tests. Laboratory temperature distribution testing methods, analysis of value and location of T_refl measurement are explained in this paper. The heat source is two halogen lamps of 500 watts each fitted at a distance of 30–50 cm. Noises appearing during testing of thermography are corrected with measured T_refl value. The results of thermogram correction of corroded concrete surfaces using T_refl values are displayed in this paper too. The concrete surface temperature results of quantitative image processing method are More >

Baran Hekimoğlu^*

Energy Engineering, Vol.120, No.7, pp. 1515-1540, 2023, DOI:10.32604/ee.2023.029024 - 04 May 2023

Abstract Two novel improved variants of reptile search algorithm (RSA), RSA with opposition-based learning (ORSA) and hybrid ORSA with pattern search (ORSAPS), are proposed to determine the proportional, integral, and derivative (PID) controller parameters of an automatic voltage regulator (AVR) system using a novel objective function with augmented flexibility. In the proposed algorithms, the opposition-based learning technique improves the global search abilities of the original RSA algorithm, while the hybridization with the pattern search (PS) algorithm improves the local search abilities. Both algorithms are compared with the original RSA algorithm and have shown to be highly… More > Graphic Abstract