A two-story concentric braced frame is to be studied using a displacement response history analysis method (i.e., push-over analysis using plastic analysis). The intent here is to compare the behavior of two structures under the following assumptions. Two brace tension-compression models are as shown below, where δ is the brace axial displacement (not the story displacement). The braces of the first structure are entirely made of model A, whereas the braces of the second structure are of model A at the top story, and model B at the bottom story. All columns can be assumed to remain elastic. In both cases, a load is applied at the top of the second story. The displacement at the point of load application is increased until the compression brace at the second story has no more strength (the end of the compression range on the brace tension-compression model shown as follows). For each structure, plot the base shear (V) as a function of the frame’s top displacement, Δ. Compare the hysteretic behavior of the two frames. Comment on:

• Which frame has the best energy dissipation capacity? Note that energy is expressed by the area under the force-displacement curve (force times displacement equals work, which itself is a measure of energy), less the elastically recoverable part of the energy (i.e., work done in the initial elastic range).

• Which frame has members undergoing the largest inelastic excursions for a given frame displacement, and which frame undergoes the largest inelastic excursion for a given member deformation?

• Which frame has the best capacity for a given frame displacement?

• Which frame sees the largest member deterioration for a given frame displacement?

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The AB Charity is planning its annual campaign to raise money. This year three alternative methods are being considered: (i) street collections, (ii) a television advertising campaign and (iii) a directmail appeal. After using simulation to assess the risk associated with the alternatives the charity’s managers have opted for a direct-mail appeal. The direct-mail appeal will involve sending out 343 000 letters to selected people. To encourage donation these will include a free ballpoint pen displaying the charity’s logo and people not replying after three weeks will receive a reminder. While the fixed costs of the campaign and the cost of sending out each letter and reminder are known for certain the charity’s managers have had to estimate probability distributions for the following four factors: (a) The percentage of people who will reply to the first letter in the North (N), Central (C) and South (S) regions of the country, respectively. (b) The average donation of those replying to the first letter in each of these regions. (c) The percentage of people who will reply to the reminder in each of the three regions. (d) The average donation of those replying to the reminder in each of the regions. Probability distributions have been estimated for the different regions because their different economic conditions are likely to have a major effect on people’s propensity to donate to the charity. The cumulative probability distribution of net returns (i.e. the total value of donations less the cost of running the direct-mail appeal). It can be seen that there is approximately a 20% probability that the net returns will be negative, causing the charity to lose money. In the simulation the possible losses extended to nearly $150 000. The managers of the charity are keen to take action to reduce this risk, but are not sure where their actions should be directed? The numbers at the ends of the bars show what are thought to be the highest and lowest possible values for each factor. For example, the possible average donation in the North is thought to range from $2 to $17. (a) Identify the areas where risk management is likely to be most effective. (b) Create a set of possible risk management strategies that might reduce the risk of the charity losing money and increase its expected return.

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