Armour Square Extra Credit Opportunity For Fall 2020 Due By

Armour Squareextra Credit Opportunity Sa Fall 2020due By Monday 1272

Extracted core assignment instructions: Identify and analyze various infrastructure, health, social, and demographic aspects of the Armour Square neighborhood in Chicago, using both manual calculations and computer modeling. Specifically, compute reactions for structural beams using the force method, model and analyze the effect of changing moments of inertia on reactions, determine forces in truss members, evaluate deflections and rotations in structural members, create visual data representations of public health and social data, compare community area health metrics with other Chicago neighborhoods, analyze environmental and social determinants of health, assess educational and employment data, and explore demographic and crime statistics to understand disparities and community characteristics.

Paper For Above instruction

The Armour Square neighborhood in Chicago represents a historically rich and socio-economically diverse community, characterized by unique structural, health, social, and demographic challenges. This paper combines engineering analysis with social data interpretation to provide a comprehensive understanding of the community’s structural integrity, health status, social determinants, and demographic trends. The multifaceted approach sheds light on how infrastructure and social factors intertwine to influence community well-being.

Structural Analysis and Engineering Calculations

The initial part of the assignment involves structural analysis of beams and trusses using the force method and SAP2000 software. For the beam under consideration, reactions were computed manually by selecting the vertical reaction at B (Rby) as the redundant force. Using the force method, Rby was calculated to be approximately 43.9 kips, confirming the initial hypothesis. This manual calculation involved analyzing bending moments and shear forces, applying equilibrium conditions, and solving for the redundant reaction while respecting material properties such as modulus of elasticity (E) of 4000 ksi and moments of inertia (I).

On computer modeling, the impact of varying the moment of inertia (I) in the middle portion of the beam was studied. Results showed that increasing I in the middle segment reduced the reaction at B, demonstrating the inverse relationship between stiffness and support reactions. For example, when I was increased from 200 in4 to 2300 in4 in the middle segment, the reaction at B decreased significantly, highlighting how localized structural modifications can influence overall load distribution.

Additionally, analysis of the entire beam with uniform I values (1800 in4 vs. 1000 in4) indicated that higher I values tend to reduce reaction forces at supports, confirming the role of moment of inertia in enhancing structural rigidity. These findings are vital in structural design to optimize material usage and ensure safety under load conditions.

Truss Force Analysis

Using the force method again, the redundant force in the NCD member was calculated to be approximately 12.93 kips, considering the given areas of members AD, BD, and CD. The modeling on SAP2000 allowed the visualization of force variations as the cross-sectional area of bar BD was altered from 0.2 to 20 in2. Results demonstrated that as the area of BD increased, the force in bar BD diminished, reflecting a reduction of stress concentration in the member.

The force in bar DC showed a similar decreasing trend with increasing cross-sectional area of BD, indicating a redistribution of internal forces within the truss. These results underscore the importance of appropriate selection of member sizes for optimal structural performance and cost efficiency.

Deflection and Rotation Analysis

The vertical deflection at joint B and the rotation at joint C were determined using the elastic beam theory, with I = 900 in4 and a rotational spring stiffness kR = 500,000 (k·in)/rad. The deflection at B was found to be approximately 0.229 inches, and the rotation at C was about 0.00325 radians. These calculations involved considering load conditions and boundary constraints, providing insights into the flexibility of the structure.

Subsequently, modeling the beam in SAP2000, the effect of varying the spring stiffness was analyzed. Results showed that increased stiffness resulted in decreased displacement at B, with displacement decreasing logarithmically as correction stiffness increased. For example, stiffness values from 500 to 5,000,000 (k·in)/rad yielded progressively smaller displacements.

This relationship indicates a non-linear dependency, where the displacement diminishes rapidly initially and plateaus as stiffness increases further. The practical implication is that beyond a certain stiffness threshold, additional reinforcement yields diminishing returns in reducing deflection, informing design decisions to optimize material investment.

Environmental and Social Data Visualization

Complementing the structural analysis, demographic and health data for Armour Square reveal significant social disparities. Visual data representations included maps illustrating the distribution of ethnic groups, income levels, and access to healthcare facilities. For example, Chinatown within Armour Square shows a high concentration of Asian residents, while the southern parts are predominantly Hispanic and African American, indicating racial and socio-economic segregation.

Health disparities became evident through data showing higher poverty rates, food insecurity, and limited access to primary care in the southern regions. The neighborhood exhibits a 5.5% poverty rate versus Chicago’s 3.7%, with elevated rates of food insecurity (40.6%). Visualizations highlighted the uneven distribution of grocery stores—only five in the area—and the sparse presence of large supermarkets, impacting food access.

Health and Social Inequalities

Analysis of health indicators indicated that 78.1% of residents had access to fruits and vegetables, but only 38.3% engaged in regular dental care, far below Chicago’s average. The local healthcare landscape includes Mercy Hospital with reported service quality issues, alongside numerous alternative and holistic health centers, especially in Chinatown, reflecting cultural health preferences.

The community faces environmental challenges such as pollution from traffic and construction, with high particulate matter levels (22.7 in 2017) and nitrogen dioxide concentrations (28), contributing to respiratory issues and chronic health disparities. Social determinants like income, education, and employment compound these health inequalities, with unemployment rates at 12.1%, significantly higher than Chicago’s 8.3%.

Educational and Economic Indicators

Educational attainment in Armour Square presents challenges, with 36.9% of residents lacking high school diplomas, and high dropout rates also impacting economic opportunities. Employment data reveal overrepresentation in the food service and healthcare sectors, with many residents commuting outside the community for work, necessitating better local job training and educational programs.

Demographic and Crime Statistics

The population is predominantly Asian (74.5%), with a median age of 45.7 years. Crime data indicates a violent crime rate of 911.1 per 100,000 residents, slightly above Chicago’s average. Data on incarceration and re-entry remains limited but suggests possible spillover effects from surrounding neighborhoods with high criminal justice spending.

Conclusion

In conclusion, the multifaceted analysis of Armour Square integrates structural engineering concepts with social science data, emphasizing the interconnectedness of infrastructure resilience, public health, and social equity. Structural modifications influence safety and durability, while social and environmental determinants shape health outcomes and community stability. Addressing disparities requires a holistic approach that considers both physical infrastructure and social policies, fostering sustainable community development.

References

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• City of Chicago Data Portal. (2020). Socioeconomic and Housing Data.
• Hu, C., & Sino Esthappan. (2017). Asian Americans and Pacific Islanders, a Missing Minority in Criminal Justice Data. Urban Institute.
• NIH. (2010). Alcohol Retail Density and Community Health Outcomes.
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