• Journal of the Korean GEO-environmental Society
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• v.15 no.6
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• pp.49-56
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• 2014

The stability of tunnel construction depends entirely on the characteristics of the soil strength. If the soil strength is weak, collapse of tunnel occurs frequently under construction. In general, it copes with collapse by conducting half section excavation or reinforcement in advance under these conditions. Nevertheless, it can be collapsed under upper section excavation in the weathered fracture zone and it can be recovered through the application of reinforcement. As it has a bad influence on the upper section in case of upheaveal of tunnel bottom, it can be adversely affected on the overall stability of the tunnel. Thus, an in-depth review of reinforcement is needed in poor bottom ground. As the practices that has a bad affect on the stability of the tunnel due to upheaveal of tunnel bottom is increasing, research is needed for applicable standards for reinforcement. In this paper, it were investigated at actual field cases of upheaveal of bottom ground and characteristics of behavior and reinforcement measures were analyzed.

• The Journal of Engineering Geology
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• v.17 no.1 s.50
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• pp.115-123
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• 2007

Recently, accelerating population and advanced economy result in extending old freeways and constructing new freeways. To make a good freeway shape, tunnel constructions are also rapidly increasing. Therefore, a possibility of a collapse during a tunnel excavation is getting higher in a proportionate manner. Especially, tunnel excavation has increased in poor geological condition in order to maintain good alignment of road and the collapse of tunnel has often happened without reinforcement method. This research paper will analyze for ms and causes of the collapses for different geological conditions and applied reinforcement solutions by investigating typical collapse sites during highway tunnel constructions.

• Earthquakes and Structures
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• v.16 no.3
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• pp.279-293
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• 2019

The overall seismic performance of existing pre 1960-70s reinforced concrete (RC) structures is significantly affected by the inadequate length of columns' lap-spliced reinforcement. Due to this crucial structural deficiency, the cyclic response is dominated by premature bond - slip failure, strength and stiffness degradation, poor energy dissipation capacity and low ductility. Recent earthquakes worldwide highlighted the importance of improving the load transfer mechanism between lap-spliced bars, while it was clearly demonstrated that the failure of lap splices may result in a devastating effect on structural integrity. Extensive experimental and analytical research was carried out herein, to evaluate the effectiveness and reliability of strengthening techniques applied to RC columns with lap-spliced reinforcement and also accurately predict the columns' response during an earthquake. Ten large scale cantilever column subassemblages, representative of columns found in existing pre 1970s RC structures, were constructed and strengthened by steel or RC jacketing. The enhanced specimens were imposed to earthquake-type loading and their lateral response was evaluated with respect to the hysteresis of two original and two control subassemblages. The main variables examined were the lap splice length, the steel jacket width and the amount of additional confinement offered by the jackets. Moreover, an analytical formulation proposed by Tsonos (2007a, 2019) was modified appropriately and applied to the lap splice region, to calculate shear stress developed in the concrete and predict if yielding of reinforcement is achieved. The accuracy of the analytical method was checked against experimental results from both the literature and the experimental work included herein.

• Journal of Institute of Control, Robotics and Systems
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• v.7 no.10
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• pp.819-826
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• 2001

Genetic algorithms are becoming more popular because of their relative simplicity and robustness. Genetic algorithms are global search techniques for nonlinear optimization. However, traditional genetic algorithms, though robust, are generally not the most successful optimization algorithm on any particular domain because they are poor at hill-climbing, whereas simulated annealing has the ability of probabilistic hill-climbing. Therefore, hybridizing a genetic algorithm with other algorithms can produce better performance than using the genetic algorithm or other algorithms independently. In this paper, we propose an efficient hybrid optimization algorithm named the adaptive random signal-based learning. Random signal-based learning is similar to the reinforcement learning of neural networks. This paper describes the application of genetic algorithms and simulated annealing to a random signal-based learning in order to generate the parameters and reinforcement signal of the random signal-based learning, respectively. The validity of the proposed algorithm is confirmed by applying it to two different examples.

• Proceedings of the Korean Geotechical Society Conference
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• 2010.09a
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• pp.428-444
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• 2010

After underground excavation being introduced in dometic, many technologies have been storing up. One of them, measurement, has been recognized as an important item under excavation construction. But, unlike a large-scale construction, it was not been treated importantly at the general small-scale structures with poor ordering and original design was unchanged under construction was normal if the problem didn't occur on monitoring. In this paper, the site which safe and economical management as well as shortening construction period was made effectively using measurement result was introduced. Also, the site which was completed safely with analyzing measurement and reinforcement when unusual symptom happened was introduced. Using measurement result effectively will be able to obtain the safety and prevent unnecessary economical loss.

• Journal of the Korean Society of Safety
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• v.29 no.6
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• pp.111-118
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• 2014

While large-sized facilities (type I II) have been managed systematically after the establishment of the Special Law for Safety Management on Facility, the management of small-sized facilities is relatively poor. The small-sized facilities have been managed by The Basic Law for Disaster and Safety Management, however, it is hard to manage them systematically as related standards are not established. Therefore, this study proposed the management plans for including the facilities such as some road tunnels and utility tunnels, which have the definite manager and a high possibility to harm the public, into type I and II facilities. In addition, it proposed the reinforcement plans of safety management for small-sized and vulnerable facilities such as breast wall and cut slopes, traditional markets and pedestrian bridges, which are fundamental facilities closely related to people's life, although a budget and a man-power are not enough.

• Journal of Multimedia Information System
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• v.2 no.1
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• pp.179-186
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• 2015

This paper describes the application of a simulated annealing to a random signal-based learning. The simulated annealing is used to generate the reinforcement signal which is used in the random signal-based learning. Random signal-based learning is similar to the reinforcement learning of neural network. It is poor at hill-climbing, whereas simulated annealing has an ability of probabilistic hill-climbing. Therefore, hybridizing a random signal-based learning with the simulated annealing can produce better performance than before. The validity of the proposed algorithm is confirmed by applying it to two different examples. One is finding the minimum of the nonlinear function. And the other is the optimization of fuzzy control rules using inverted pendulum.

• Proceedings of the Polymer Society of Korea Conference
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• 2006.10a
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• pp.374-374
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• 2006

Poly (N-isopropylacrylamide) (PNIPAAm) shows a lower critical solution temperature (LCST) at $32^{\circ}C$. Consequently, its thermosensitivity has extensively been investigated in coating materials as well as biomedical and agricultural industry. However, mechanical properties of the swollen gels are generally poor and reinforcement is often desired. A series of interpenetrating polymer networks (IPNs) and emulsion blends hydrogels of polyurethane (PU) and PNIPAAm were prepared in order to overcome the shortcomings of a normal PNIPAAm hydrogels. Regarding the mechanical reinforcement of swollen gel, a significant increase in compression and tensile properties has been obtained by incorporating PU.

• Proceedings of the Korean Geotechical Society Conference
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• 2005.03a
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• pp.906-909
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• 2005

The purpose of this paper is to study on the construction of roadbed with environmental friendly soil amendment agent and reinforced fiber. The special amendment agent and fiber used in this study has a function of soil-cement-agent solidification and reinforcement. A series of laboratory experiments including unconfined compressive strength, tensile strength, compaction test were carried out to investigate the physical and mechanical characteristics of roadbed treated by solidifying agent and fiber. The results of this research showed that the roadbed using poor soil could be efficiently constructed by treatment of this amendment agent and fiber.

• Proceedings of the Korea Concrete Institute Conference
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• 1996.04a
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• pp.348-353
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• 1996

This study addresses the evaluation of the durability of reinforced concrete marine structures subjected to fatigue loading. The laboratory investigation was carried out on full and half size reinforced concrete specimens with three different water cement ratios (0.3, 0.4, and 0.56), static and fatigue loading conditions, and epoxy-coated and regular black steel reinforcements. The marine tidal zone was simulated by alternate filling and draining of the tank (wet and dry cycled), and a galvanostatic corrosion technique to accelerate corrosion of reinforcement was used. Half-cell potentials and changes of crack width were measured periodically during the exposure and followed by ultimate strength testing. The significant findings include adverse effect of fatigue loading, existence of an explicit size effect, poor performance of epoxy coated steel, and negative effect of increasing water/cement ratio.