In seismic prone areas, earthquakes happen more than just main shocks which are happen with sequences of shocks include of different intensity of aftershocks. In technical documents, these kinds of several earthquakes are called mainshock-aftershock ground motions. In this study, seismic behavior of RC frame under mainshock-aftershock with different ratios of maximum acceleration of aftershock to maximum acceleration of mainshock was evaluated. In this paper, nonlinear time-history analysis of frame were performed under mainshock-aftershock sequences and then the residual interstory drift ratio for comparing response of frame under seismic sequences was evaluated. The results show that, residual interstory drift ratio of frame, related to intensity of aftershocks to mainshock and enhance of intensity of aftershock due to increase residual interstory drift ratio of frame. Although, growth of residual interstory drift ratio of top stories more significant than below stories of frame.
With regard to the increase of computing power in the past decades, finite element methods have been used to obtain the graphs of rotational moment curves which reflect non-linear effect in connections response. Several common semi-rigid connections are modeled and their behavioral properties are briefly reviewed, then the details related to a new semi-fixed connection have been provided. The behavioral properties like hardness, ultimate capacity and ductility are investigated and compared to other simulated connections. To perform non-linear analyses of connection, finite element software ABAQUS is used. In this simulation, it has been tried to have inter-component interactions according to reality as much as possible. Bolted connections are modeled exactly and the interaction among the bolt surface and hole is modeled as a hard friction with friction coefficient 0.3 with the ability of separating after loading. Also, fillet welds are modeled as a prism with triangular section. Where a groove weld is applied, since the strength in this type of welding is like base metal, two connection parts are stuck together. To mesh the element, C3D8R element is used. The proposed connection n1 has the most rigidity values among semi-rigid connections. Reducing the number of connection bolts has more reducing impact on connection rigidity value, so that with the half thickness of upper and lower sheets, rigidity rate is reduced only 9%, but with the half number of bolts, rigidity rate is reduced about 64%. Also the connection n3 have lowest rigidity rate and its rigidity amount is in the class of bolted connection in seat angle to web angle.
Previous earthquakes have shown that topographic irregularities have significant impacts on the site seismic response and increasing structural damage by amplifying seismic responses. Studies on seismic behavior of slope topographic have shown that dynamic response of free field and soil-structure system is severely on the influence of topography shape and soil properties. Angle and height of slope, frequency of excitation, nonlinear behavior of soil and depth of bedrock are other parameters that affect on the response of the entire system. Furthermore the studies have shown that presence of structure adjacent to slope is very effective on variation of seismic behavior pattern of this topography but these studies are very limited. In this study the effect of existing structure adjacent to slope to seismic behavior pattern of slope topography have been investigated. The parameters that have studied in this article comprise slope angle and frequency content of excitation. The results show that the presence of structure adjacent to the slope, causes an increase to the response of free field and transmitting maximum response to distance away from structure position.
Consecutive impacts of pile driver hammer on a precast pile head for pile installation in the ground is called impact pile driving. Nowadays, the widespread use of impact pile driving in pile foundations construction is undeniable; As a result, pile driving is the most common source of construction vibrations among the sources of producing ground vibrations. The ground vibrations during pile driving is the most important factor of limiting the use of this method. Thus, to avoid structural damages, acceptable prediction of ground vibration before any project implementation is necessary. For this purpose, numerical modeling is undoubtedly the most accurate, economical and fastest way; but up to now, correct modeling of pile installation process has been the main problem in numerical modeling of pile driving. This study aims to achieve better match of ground vibrations with field results compared to the previous numerical results in terms of peak particle velocity by modeling impact pile driving operation through ABAQUS finite element software from ground surface to a desired depth without considering previous researchers assumptions and considering the details of practical works.
Due to increasing speed and mass of trains and vehicles, the errors arising from utilizing moving force method to obtain dynamic response of bridges cannot be neglected. In this paper, dynamic response of bridges under moving loads is studied. The bridge is modeled as simply-supported Euler-Bernoulli beam. Since in modeling moving loads by moving force method, inertial forces are neglected, this method is valid for a limited range of influential parameters (speed and mass). By considering inertial forces between the moving load and supporting structure, moving mass method can be utilized to extract dynamic governing equations. Numerical results reveal that by increasing speed and mass of the moving load, midpoint dynamic deflection of bridge obtained by two distinct methods differ considerably. For example, for mass ratio of 0.15 and speed ratio of 0.8, 11 percent difference is observed in midpoint dynamic deflection calculated by two aforementioned methods.
Parameter | Unit | Layer No. 1 | Layer No. 1 |
Internal friction angle (CU) | Deg. | 29 | 33 |
Cohesion (CU) | Kg/cm2 | 0.15 | 0.45 |
Density | Kg/cm3 | 18.5 | 20 |
Poisson ratio of unloading/reloading | Kg/cm2 | 0.2 | 0.2 |
Secant deformation modulus | Kg/cm2 | 550 | 900 |
Power of stress level of stiffness | 0.5 | 0.5 | |
Stiffness unloading | Kg/cm2 | 1650 | 2700 |
factor methods | aspect | Slope | distance from surface water | land use | plan curvature | profile curvature | distance from fault | distance from the roads | NDMI |
information value | N, NE | >40 | >1000 | forest | concave | concave | <500 | >1000 | -0.17_ -0.408 |
density area | N, NE | >40 | >1000 | forest | concave | concave | <500 | >1000 | -0.17_ -0.408 |
LNRF | SW, S | 10-20 | >1000 | pasture | Convex | convex | <500 | >1000 | -0.17_ -0.408 |
frequency ratio | N, NE | >40 | >1000 | forest | concave | concave | <500 | >1000 | -0.17_ -0.408 |
Specimen | Tensile Strength (MPa) | Fracture Toughness (MPa√m) |
Limestone | 3.74 | 1.23 |
Sandstone | 7.14 | 1.63 |
Tuff | 16.36 | 2.17 |
Lithic Tuff | 4.34 | 1.01 |
Andesite | 13.25 | 1.86 |
Travertine | 8.27 | 1.14 |
Incheberon Area | Gonbad Area | Soil Properties |
CL-ML | CL-ML | Unified soil classification system |
2.55 | 2.54 | Particle specific gravity |
18 | 16 | Plastic limit (%) |
23 | 22 | Liquid limit (%) |
5 | 6 | Plasticity index (%) |
86 | 95 | Passing No. 200 sieve (%) |
0.04 | 0.006 | Average particle size (D50) (mm) |
16 | 15 | Optimum water content (%) |
1.60 | 1.54 | Maximum dry unit weight (g/cm3) |
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