Adsorption and separation behaviors of Y(III) and Sr(II) in acid solution by a porous silica based adsorbent

Wu, Hao,Kawamura, Taiga,Kim, Seong-Yun Korean Nuclear Society 2021 Nuclear Engineering and Technology Vol.53 No.10

Aiming at selective adsorption and separation of Y(III) from the Y(III)-Sr(II) group in acid solution, a silica-based TODGA impregnated adsorbent [(TODGA+1-dodecanol)/SiO₂-P-F600] has been prepared. Batch adsorption experiments were conducted under the effect of contact time, acid concentration, solution temperature, and adsorption capacity etc. Chromatography recovery of more than 90% Y(III) was successfully achieved under elution with 0.01 M DTPA solution in nitric acid adsorption system, and 0.1 M HCl solution in hydrochloride adsorption system, respectively.

Improvement of bond strength and durability of concrete incorporating high volumes of class F fly ash

Wu, Chung-Hao,Chen, Chien-Jung,Lin, Yu-Feng,Lin, Shu-Ken Techno-Press 2021 Advances in concrete construction Vol.12 No.5

This study experimentally investigated the improvement of bond strength and durability of concrete containing high volume fly ash. Concrete mixtures made with 0%, 25% and 60% replacement of cement with class F fly ash were prepared. Water-binder ratios ranged from 0.28 to 0.72. The compressive, flexural and pullout bond strength, the resistance to chloride-ion penetration, and the water permeability of concrete were measured and presented. Test results indicate that except for the concretes at early ages, the mechanical properties, bond strength, and the durability-related chloride-ion permeability and water permeability of concrete containing high volume (60% cement replacement) fly ash were obviously superior to the concrete without fly ash at later ages of beyond 56 days. The enhanced bond strength for the high volume fly-ash concrete either with or without steel confinement is a significant finding which might be valuable for the structural application.

A Hybrid Self-Powered System Based on Wind Energy Harvesting for Low-Power Sensors on Canyon Bridges

Hao Cao,Xiaoping Wu,Hao Wu,Yajia Pan,Dabing Luo,Ali Azam,Zutao Zhang 한국정밀공학회 2023 International Journal of Precision Engineering and Vol.10 No.1

Canyon cross wind has great potential to be transformed into electricity to power for low-power sensors of the health monitoring devices in bridge field. In this paper, a hybrid wind energy harvesting system (WEHS), integrating piezoelectric and electromagnetic mechanisms, is proposed to supply power for low-power sensors on canyon bridges. Firstly, the S-rotor embedded with a one-way bearing converts wind energy into rotational mechanical energy. Then, the piezoelectric cantilever beam and coils simultaneously convert mechanical energy into electricity under the excitation of the rotational magnet array. For the piezoelectric transducer, the symmetrical poles arrangement of tip magnet reduces the starting wind speed and resistance torque during energy harvesting. In addition, the relationship between different number of excitation magnets and the output of the piezoelectric transducer is explored. Finally, the output electricity is stored in the capacitors to supply power for low power sensors. The experimental results showed that the symmetrical poles arrangement of tip magnet could effectively reduce the starting resistance torque and improve the output power at low wind speeds. Given a wind speed of 6.5 m/s, the maximum output power of the WEHS can reach 19.24 mW with corresponding electrical energy of 75.714 mJ in one sweep period (6 s). The field test results demonstrated that the WEHS could effectively charge for the capacitors and power for a hundred LEDs. Furthermore, the mechanical durability and stability of the WEHS are verified by introducing a self-powered low power sensor system.

Investigations of the Temperature Field and Cracking Risk in Early Age Massive Concrete in the # 0 Segment of a Box Girder Bridge

Hao Wu,Jia Liu 대한토목학회 2023 KSCE Journal of Civil Engineering Vol.27 No.9

Massive high-strength concrete is often used for the # 0 segment of continuous box girders in modern large-span bridges. Thus, the release of substantial hydration heat results in thermal cracking during construction, which greatly affects bridge safety and durability. To predict the risk of structural cracking, it is important to clarify the distribution of the temperature gradient associated with the hydration heat in the # 0 segment and develop an accurate and simple method for calculations to assess of cracking. In this study, based on an actual bridge project, the temperature variation of the # 0 segment caused by hydration heat were measured, and the temperature distribution and development were investigated. The finite element method (FEM) was utilized to simulate the temperature field of the # 0 segment. Three thermodynamic methods for the assessment of cracking were compared and analyzed by practical calculations, and the influence of different parameters on the cracking risk was investigated. Measurements showed that the temperature field of the # 0 segment had a skewed unimodal normal distribution in time and a U-shaped distribution of low and high temperatures in outer and inner positions, respectively. The temperature distributions associated with the hydration heat were discontinuous in time for the root section and obeyed different but correlated Gaussian functions along the width of different pouring layers of the intermediate crossbeam at the # 0 segment. Additionally, the results of the FEM simulation were very consistent with the measurements, which verified the accuracy of the FEM simulation. The cracking assessment methods in EC2 and GB 50496 were used to exactly evaluate the cracking of massive concrete structures. On the basis of the results of the study, it was recommended to reduce casting temperature, delay removal of formwork and control curing temperature above 15oC to curb cracking.

Effects of Different Precoolings on Incremental Cycling Exercise Performance of University Cyclists under Hot and Humid Conditions

( Hao Wu ),( Jianbin Li ),( Taiming Zhang ) 한국체육학회 2015 국제스포츠과학 학술대회 Vol.2015 No.1

Purpose: Many sports are carried out under high temperature and high humidity environment, so conventional warm-up is adverse for the endurance exercise in this case. Instead, precooling may be another "warm-up" activities that is help endurance athletes resist high temperatur, and delaying fatigue. this research comparatively study the effects of different pre-cooling methods on incremental cycling exercise performance in hot and humid conditions, and explore proper precooling strategy being suitable for high temperature and high humidity environment. Method: This experiment is designed by a randomized crossover self-control. Twenty participants recruited from University Riding Club are male cyclists, Each subject must perform three trials, control (CON), low body immersion precooling (LBI) and whole body immersion precooling (WBI). After 20min precooling intervention, subjects immediately proceed to incremental cycling exercising to be exhausted in a environment simulation laboratory at high temperature (35-38℃) and high humidity (60%-70%) environment, Related physiological indexes and performance of motion data are acquired. Result: Compared with CON, exercise time, distance and workload in LBI respectively increased by average of 3.43 minutes, 1.13 km, and 42.89kj (P < 0.01), while it is 2.62 minutes, 0.95 km and 33.89kj in WBI (P < 0.05). Obviously, LBI are significantly different from WBI (P < 0.05); The LBI and WBI significantly decreased the subjects, HR, respectively by 7.3±4.0 and 7.0±3.3(P<0.05); There are significant correlations between exercise performance in high temperature and high humidity environment and baseline HR、reserve heart rate and heat storage( P<0.01,r>0.7) Conclusion: Precooling significantly improves athletics capacity of exercise in high temperature and high humidity environment, presented prolonging exercise time, distance and increasing workload, and the effects of LBI is more obvious; Local precooling and systemic precooling can significantly reduce the base HR and core temperature, and increase the reservation of heart rate and heat storage, and the local precooling is more effective; Comprehensive analysis shows that local precooling and systemic precooling can significantly improve the exercise perforemance in high temperature and high humidity environment. More over, the local precooling is more effective.

Vacuum deposited small molecule and perovskite solar cells

Hao-Wu LIN 한국진공학회 2016 한국진공학회 학술발표회초록집 Vol.2016 No.8

Four-Leg Object Recognition for Service Robot Based on Top-hat Transformation

Hao Wu,Guohui Tian,Xinran Wang,Fei Lu 보안공학연구지원센터 2014 International Journal of Control and Automation Vol.7 No.12

A method of object recognition for objects with special topological structure is developed based on top-hat transformation for service robot. The objects with four legs are easily detected and recognized by service robot with laser ranger array by this method. First, the top-hat transformation in one dimension is reviewed, then the recognition strategy of self-adapting threshold for objects with special topological structure is proposed, and the general data process for object recognition and position is proposed and analyzed. Experimental results show that the process of object recognition based on top-hat transformation proposed in this article is an effective and accurate application.

Growth of Human Colon Cancer Cells in Nude Mice is Delayed by Ketogenic Diet With or Without Omega-3 Fatty Acids and Medium-chain Triglycerides

Hao, Guang-Wei,Chen, Yu-Sheng,He, De-Ming,Wang, Hai-Yu,Wu, Guo-Hao,Zhang, Bo Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.5

Background: Tumors are largely unable to metabolize ketone bodies for energy due to various deficiencies in one or both of the key mitochondrial enzymes, which may provide a rationale for therapeutic strategies that inhibit tumor growth by administration of a ketogenic diet with average protein but low in carbohydrates and high in fat. Materials and Methods: Thirty-six male BALB/C nude mice were injected subcutaneously with tumor cells of the colon cancer cell line HCT116. The animals were then randomly split into three feeding groups and fed either a ketogenic diet rich in omega-3 fatty acids and MCT (MKD group; n=12) or lard only (LKD group; n=12) or a standard diet (SD group; n=12) ad libitum. Experiments were ended upon attainment of the target tumor volume of $600mm^3$ to $700mm^3$. The three diets were compared for tumor growth and survival time (interval between tumor cell injection and attainment of target tumor volume). Results: The tumor growth in the MKD and LKD groups was significantly delayed compared to that in the SD group. Conclusions: Application of an unrestricted ketogenic diet delayed tumor growth in a mouse xenograft model. Further studies are needed to address the mechanism of this diet intervention and the impact on other tumor-relevant parameters such as invasion and metastasis.

A Java Prototype Implementation of Coordination for Heterogeneous, Distributed, and Parallel Programming

Hao Wu,Chia-Chu Chiang 보안공학연구지원센터 2012 International Journal of Software Engineering and Vol.6 No.2

Prediction Simulation Study of Road Traffic Carbon Emission Based on Chaos Theory and Neural Network

Hao Wu,Xianglian Zhao 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.7

Study the road traffic carbon emission and accurately predict the problems, the road traffic carbon emission has the complex systems of chaos and nonlinearity, the traditional method ignores the chaos of the road traffic carbon emission change, and it is so difficult to precisely control the rules of the road traffic carbon emission change that the precision of the of traffic carbon emission prediction is lower. In this study, it proposes the road traffic carbon emission prediction model based on the chaos theory and neural network and improves the prediction precision of the road traffic carbon emission time sequence. First of all, it reconstructs the time sequence data of the road traffic carbon emission change through the space, and sorts out the chaos change rules hidden in the time sequence data and then uses the BP neural network to study and carry out the modeling of the time sequence data of the road traffic carbon emission, and optimize the neural network parameter in order to improve the prediction precision of the road traffic carbon emission time sequence. The simulation result shows that, Chao-BPNN has overcome the deficits of the traditional method and could precisely and comprehensively reflect the change rules of the road traffic carbon emission time sequence, and effectively improved the prediction precision of the road traffic carbon emission.