Formulating the Research Problem
Learning Objectives
- Identify and define research gaps within civil engineering contexts.
- Formulate clear, concise, and actionable problem statements.
- Evaluate research questions using the FINER criteria and structure them using the PICO framework.
- Develop specific research objectives aligned with the SMART framework.
- Differentiate between theoretical and conceptual frameworks and construct variable relationship models.
This lesson explores the foundational steps of conducting rigorous research in civil engineering. It covers how to identify meaningful gaps in existing knowledge, translate those gaps into formal problem statements, and systematically construct evaluable research questions and objectives to guide a project from conception to execution.
Research Gap
An area or a question that has not been adequately addressed or answered in the existing literature. It's the "missing piece" in current knowledge that your research aims to fill. For example, while many studies might exist on the compressive strength of standard concrete, a research gap could be the lack of data on how a newly formulated ultra-high-performance concrete (UHPC) behaves under extreme freeze-thaw cycles in arctic marine environments.
Identifying a Research Gap
Identifying this gap requires a thorough literature review to understand what is known and what remains unknown. The gap forms the core justification for why your research is necessary.
Common Research Gaps in Civil Engineering
- Lack of Empirical Data: A missing dataset on a specific new construction material under certain environmental conditions (e.g., creep behavior of a new fiber-reinforced polymer over 50 years).
- Theoretical Conflict: A conflict between existing theories or models regarding structural behavior that needs resolution.
- Unexplored Applications: A new technological advancement that hasn't been fully evaluated for its application in a specific context (e.g., the long-term durability of 3D-printed concrete in highly corrosive marine environments).
- Methodological Gaps: A situation where previous studies used flawed, limited, or outdated methods that need to be re-evaluated with modern, higher-precision techniques (e.g., replacing manual crack measurement with AI-driven image analysis).
Interactive Simulation
Interact with the simulation below to explore examples of identifying research gaps.
Identifying Research Gaps
Existing Knowledge (The Literature)
- Compressive strength of standard concrete
- Basic properties of steel rebar
The Research Gap (What is Unknown)
- Long-term durability of 3D-printed concrete in marine environments
- Self-healing concrete performance under extreme freeze-thaw cycles
Problem Statement
A clear and concise articulation of the specific issue, gap, or challenge that the research project will address, explaining why the research is necessary.
Writing the Problem Statement
A strong problem statement typically includes:
- The Ideal Situation: Briefly describe how things should be or what the desired state is (e.g., "Bridges should withstand significant seismic events without catastrophic failure").
- The Reality (The Problem): Describe the current situation, highlighting the issue or gap (e.g., "However, older bridges retrofitted with standard steel jackets are showing unexpected vulnerability to near-fault ground motions").
- The Consequences: Explain the negative impacts of the problem if left unaddressed (e.g., "This vulnerability could lead to significant structural damage, loss of life, and severe economic disruption during a major earthquake").
- The Proposed Solution (The Research Aim): State broadly what the research intends to do to address the problem (e.g., "This study aims to investigate the effectiveness of novel shape memory alloy (SMA) jackets as an alternative retrofitting strategy for older bridge columns under near-fault seismic loads").
FINER Criteria
A widely used framework to evaluate the strength and viability of a proposed research question based on Feasibility, Interest, Novelty, Ethics, and Relevance. For example, testing a new type of explosive for demolition might be Novel and Interesting, but it would fail the FINER criteria if it cannot be done safely (Ethical) or legally within city limits (Feasible).
Evaluating Research Questions
Once a problem is identified, it must be translated into a viable research question. The FINER framework ensures the question is practical, meaningful, and capable of being answered given the constraints of the researcher and the physical world.
The FINER Criteria
- F - Feasible: Can the study be done? Do you have the necessary time, funding, access to testing equipment (like a universal testing machine or shake table), materials, and technical expertise?
- I - Interesting: Is the answer to the question of interest to you, your peers, and the broader scientific or civil engineering community?
- N - Novel: Does the study provide new findings? Does it confirm, refute, or extend previous findings, or explore a new methodology? Researching something already definitively proven lacks novelty.
- E - Ethical: Can the study be conducted without unacceptable risk to humans, animals, or the environment? For structural tests, this means ensuring safety protocols are followed and no harm comes to the research team.
- R - Relevant: Does the study advance scientific knowledge, influence engineering guidelines (like ACI or AISC codes), or guide future infrastructure policy?
PICO Framework
A framework used to structure a precise, answerable question for comparative research by explicitly defining the Population, Intervention, Comparison, and Outcome.
Structuring Questions: The PICO Framework
For highly specific, often comparative research (especially experimental studies testing new materials or retrofitting techniques against standard practices), the PICO framework is extremely useful to ensure the research question is sharply focused.
Example PICO Question: In older reinforced concrete bridge columns located in high seismic zones (P), does retrofitting with Shape Memory Alloy (SMA) spirals (I) compared to traditional carbon fiber reinforced polymer (CFRP) wrapping (C) result in a greater increase in energy dissipation and displacement ductility (O)?
The PICO Framework
- P - Population (or Problem): Who or what are you studying? (e.g., Older reinforced concrete bridge columns in high seismic zones).
- I - Intervention: What are you doing or testing? (e.g., Retrofitting with Shape Memory Alloy spirals).
- C - Comparison (or Control): What is the alternative or baseline? (e.g., Traditional CFRP wrapping, or an unretrofitted control column).
- O - Outcome: What specific, measurable parameter are you using to determine success? (e.g., Increase in energy dissipation and displacement ductility under cyclic loading).
Setting Research Objectives
Research objectives specify what the study intends to achieve. They are concrete, measurable goals that guide the research design.
- General Objective: A broad statement of the overall goal (e.g., "To evaluate the seismic performance of SMA-retrofitted bridge columns").
- Specific Objectives: Detailed, actionable steps needed to achieve the general objective. These often start with action verbs like determine, compare, analyze, evaluate, model. (e.g., "1. To characterize the material properties of the selected SMA under cyclic loading. 2. To develop finite element models of unretrofitted and SMA-retrofitted columns. 3. To compare the displacement ductility and energy dissipation of the models under simulated near-fault earthquakes.")
There should be a direct, one-to-one logical mapping between specific objectives and research questions.
The SMART Framework for Objectives
When drafting specific research objectives, researchers should ensure they align with the SMART framework. This guarantees that the goals are clear, actionable, and capable of being evaluated at the conclusion of the study.
The SMART Framework
- S - Specific: The objective must clearly define exactly what is being done, who is involved, and what the expected outcome is, without ambiguity. (e.g., Instead of "To improve concrete," use "To determine the optimal dosage rate of silica fume to maximize 28-day compressive strength").
- M - Measurable: There must be a clear metric or indicator to assess progress and determine when the objective has been successfully met. (e.g., The objective must involve quantifiable data, like measuring strength in MPa or observing a defined qualitative behavioral change).
- A - Achievable: The objective must be realistic given the available resources, time constraints, and the researcher's technical skills. Setting an objective to completely eliminate concrete cracking globally is unachievable; minimizing micro-cracking in a specific mix design is.
- R - Relevant: The objective must directly support the broader research problem and the overall aim of the study. It should contribute meaningful knowledge to the specific field of civil engineering.
- T - Time-Bound: While often implied in broader research schedules, specific objectives should be achievable within the timeframe allocated for the project or thesis.
Theoretical and Conceptual Frameworks
Every research project is anchored in theories or concepts that frame the study. These frameworks help interpret the data and connect findings back to existing knowledge.
- Theoretical Framework: Provides a broad foundation, often based on existing, well-established scientific theories (e.g., using "Fracture Mechanics Theory" when studying the propagation of cracks in a steel beam).
- Conceptual Framework: A logical, visual, or written model created by the researcher that maps out the specific variables in the study and their suspected relationships (e.g., a flowchart linking aggregate type, water-cement ratio, and resulting compressive strength).
In building a Conceptual Framework, it is critical to explicitly map the variables involved in your research to visually communicate their expected relationships:
- Independent Variables (IV): The factors you manipulate or observe as the presumed cause. They stand "independent" of the outcome. (e.g., Dosage of a new concrete admixture).
- Dependent Variables (DV): The outcome you measure. Its value depends on the IV. (e.g., The resulting compressive strength of the concrete).
- Moderating Variables: Variables that affect the strength or direction of the relationship between the IV and DV. (e.g., Curing temperature might moderate how effective the admixture is).
- Mediating Variables: Variables that explain why or how a relationship exists between an IV and DV.
A standard conceptual framework often uses boxes (representing variables) and arrows (representing the direction of assumed influence or causality) to map out these relationships.
- A research gap is an unaddressed area in existing knowledge that justifies a new study, demanding comprehensive knowledge of the current state-of-the-art.
- A clear problem statement outlines the ideal situation, the current reality (the problem), its consequences, and the proposed research aim.
- The FINER criteria ensures a research question is Feasible, Interesting, Novel, Ethical, and Relevant.
- The PICO framework structures precise, answerable comparative questions by defining the Population, Intervention, Comparison, and Outcome.
- Research objectives are specific, measurable goals that break down the broader aim into actionable steps.
- The SMART framework ensures all objectives are Specific, Measurable, Achievable, Relevant, and Time-bound, guaranteeing they can be realistically accomplished.
- Theoretical frameworks rely on established broad theories, while conceptual frameworks are specific, visual models built by the researcher mapping out expected relationships between independent, dependent, moderating, and mediating variables.