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Portfolio course optimal engineering

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<b>HCMC UNIVERSITY OF TECHNOLOGY AND EDUCATION FACULTY OF MECHANICAL ENGINEERING </b>

<b> </b>

<b>PORTFOLIO </b>

<b>COURSE: OPTIMAL ENGINEERING </b>

Instructor: A/Prof. Dr. Tran Ngoc Dam Student: Nguyen Cong Binh ID: 18143001

HCM City, 26/11/2021

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<b>LINEAR PROBLEM: </b>

<b>1. MANUFACTURING PROBLEM: 1.1 Problem: </b>

Maximize profits of Coffee shop with limited materials in store.

Coffee Milk tea Chocolate <b>Stored </b>

+ x1: number of cups of coffee made per day + x2: number of cups of milk tea made per day + x3: number of cups of chocolate made per day

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<b>1.3 Solving problem: </b>

Result: F = 466.670 VNĐ

Number of cups of coffe x1 = 33 cups Number of cups of milk tea x2 = 16 cups Number of cups of chocolate x3 = 0

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<b>3. TRANSPORTATION: 3.1 Problem: </b>

Minimize the cost of transporting Cocacola to University canteen.

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<b>3.3 Solving problem: </b>

<b>Result: </b>

F = 2,500,000 VNĐ

From Thu Duc to HCMUTE: x11=5 ; From Thu Duc to BUH: x12= 25; From Thu Duc to UFM: x13=10 ; From Binh Duong to HCMUTE: x21=10; From Dong Nai to HCMUTE: x31= 15

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<b>4. COME BACK CITY WITH 4 BAGS: 4.1 Problem: </b>

Maximize the value of products brought from the countryside to the city. With limited number of bags and weight.

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<b>4.3 Solving problem: </b>

<b>Result: </b>

<b>F = 3,750,000 VNĐ </b>

Number of kilos meet bring in left bag: x13 = 15kg Number of kilos meet bring in right bag: x23 = 20kg Number of kilos meet bring in back bag: x33 = 30kg Number of kilos meet bring in front bag: x43 = 10kg

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Number of kilos of watermelon on the transportation, x <small>1</small>

Number of kilos of coconut on the transportation, x <small>2</small>

Number of kilos of apple on the transportation, x <small>3</small>

Number of kilos of orange on the transportation, x <small>4</small>

Number of kilos of banana on the transportation, x <small>5</small>

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<b>HCMC UNIVERSITY OF TECHNOLOGY AND EDUCATION FACULTY OF MECHANICAL ENGINEERING </b>

<b>FINAL PROJECT </b>

<b>COURSE: OPTIMAL ENGINEERING </b>

<b>TOPIC: </b>

<b>OPTIMAL THE MASS OF REINFORCED CONCRETE BEAM </b>

Instructor: A/Pro Dr. f. Tran Ngoc Dam Student: Nguyen Cong Binh 18143001 Tran Do Nguyen 18143052

HCM City, 26/11/2021

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Instructor: A/Prof. Dr. Tran Ngoc Dam Optimal Engineering

<b>I. DEFINE REAL PROBLEM Real problem description: </b>

Beam structure is widely application in construction these days. In real working condition, reinforced concrete beams load bearing including: self-weight, standard live load p = 50kN/m as the figure 1.2 below. The problem posed is to minimize the mass of the beam. The cross-section of beam is T profile with the dimension as the figure 1.1.

Given:

+ Reinforcement steel type CII, R<small>s</small>= R = 280 MPa <small>sc</small>

+ Live load, p = 50kN/m, safety factor n = 1.2 <small>p</small>

+ Length, L = 6 m

+ Weigh of beam, g, safety factor n = 1.1 <small>g</small>

+ Thickness of protective concrete layer a’ = , 25 mm

+ Mass density of inforced concrete, re γ 2,5 T/m = 0,000025 kg/mm = <small>33</small>

Figure 1.1: Cross-section of beam

Figure 1.2: FBD diagram

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Instructor: A/Prof. Dr. Tran Ngoc Dam Optimal Engineering

Figure 1.3: Moment diagram

Maximum moment at the cross section of beam:

Conditions for beams with sufficient load capacity: M ≤ 0.8[M]

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Instructor: A/Prof. Dr. Tran Ngoc Dam Optimal Engineering

<b>II. ANOUNCEMENT PROBLEM 1. Introduction </b>

In nowadays, reinforced concrete beams is widely use in most of the construction works: houses, buildings, companies, … Therefore, the demand for reinforced concrete beam design is very high.

With the develop of technology, beside the required of the load capacity, the engineer also need to minimize the weight of beam, it means save the material and reduce the cost.

To solve this problem, our group decided to address the T profile beam optimization problem. Structural form which is widely used in construction today.

<b>2. Method </b>

<b>The method we used is the Nonlinear Mathematical Optimization with function fmincon on Matlab application. </b>

The results satisfied the initial requirements set out. In terms of load capacity as well as optimized in mass. That saves costs and materials.

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Instructor: A/Prof. Dr. Tran Ngoc Dam Optimal Engineering

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<b>III. MODELING PROBLEM Variable: </b>

x<small>1</small>is the length of the beam x<small>2</small>is the wing thickness of the beam x<small>3</small>is the height of the beam x<small>4</small> is the rib width of the beam x<small>5</small>is the diameter of reinforced steel

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Instructor: A/Prof. Dr. Tran Ngoc Dam Optimal Engineering

<b>IV. SOLVING PROBLEM </b>

Define variables to use:

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Instructor: A/Prof. Dr. Tran Ngoc Dam Optimal Engineering

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Instructor: A/Prof. Dr. Tran Ngoc Dam Optimal Engineering

=> The load capacity is satisfied. Check the design constraint:

The results satisfied the initial requirements set out. In terms of load capacity as well as optimized in mass. That saves costs and materials.

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Instructor: A/Prof. Dr. Tran Ngoc Dam Optimal Engineering

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